Mathematics of AI Publications
2020
Decentralized stochastic non-convex optimization over weakly connected time-varying digraphs
Songtao Lu, Chai Wah Wu
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Songtao Lu, Chai Wah Wu
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Multimedia conferencing system for determining participant engagement
Dettori, Paolo and Schaffa, Frank Andre and Smilkov, Daniel and Westerink, Peter Hans and Wu, Chai Wah
US Patent 10,586,131
Abstract
Dettori, Paolo and Schaffa, Frank Andre and Smilkov, Daniel and Westerink, Peter Hans and Wu, Chai Wah
US Patent 10,586,131
Abstract
2019
Free-form production based on causal predictive models
Lior Horesh, Chai W Wu, Ramesh Natarajan, Raya Horesh, David Nahamoo, Christopher Wildsmith, Michael Widman
US Patent App. 15/876,718
Lior Horesh, Chai W Wu, Ramesh Natarajan, Raya Horesh, David Nahamoo, Christopher Wildsmith, Michael Widman
US Patent App. 15/876,718
A Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu, Mark Squillante, Chai Wah Wu
NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, pp. 15626-15636
Abstract reinforcement learning, operator, mathematical optimization, computer science
Yingdong Lu, Mark Squillante, Chai Wah Wu
NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, pp. 15626-15636
Abstract reinforcement learning, operator, mathematical optimization, computer science
Unification of Recurrent Neural Network Architectures and Quantum Inspired Stable Design
Murphy Yuezhen Niu, Lior Horesh, Michael O'Keeffe, Isaac Chuang
https://openreview.net/pdf?id=SJfFTjA5KQ, 2019
Murphy Yuezhen Niu, Lior Horesh, Michael O'Keeffe, Isaac Chuang
https://openreview.net/pdf?id=SJfFTjA5KQ, 2019
Quantum Control in the Eye of Artificial Neural Networks
Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang
22nd Annual Conference on Quantum Information Processing, 2019
Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang
22nd Annual Conference on Quantum Information Processing, 2019
2018
Designing communication systems via iterative improvement: error correction coding with Bayes decoder and codebook optimized for source symbol error
Chai Wah Wu
arXiv preprint arXiv:1805.07429, 2018
Abstract pattern recognition, mathematics, linear code, hamming code, estimator, error detection and correction, decoding methods, codebook, bit error rate, bayes theorem, artificial intelligence
Chai Wah Wu
arXiv preprint arXiv:1805.07429, 2018
Abstract pattern recognition, mathematics, linear code, hamming code, estimator, error detection and correction, decoding methods, codebook, bit error rate, bayes theorem, artificial intelligence
Can machine learning identify interesting mathematics? An exploration using empirically observed laws
Chai Wah Wu
arXiv preprint arXiv:1805.07431, 2018
Abstract nice, multiplicative function, mathematics, mathematical structure, machine learning, law, integer sequence, benford s law, artificial intelligence
Chai Wah Wu
arXiv preprint arXiv:1805.07431, 2018
Abstract nice, multiplicative function, mathematics, mathematical structure, machine learning, law, integer sequence, benford s law, artificial intelligence
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions
Chai Wah Wu
arXiv preprint arXiv:1809.02209, 2018
Abstract word error rate, small number, operator, matrix, mathematics, machine learning, mnist database, deep learning, artificial neural network, artificial intelligence, architecture
Chai Wah Wu
arXiv preprint arXiv:1809.02209, 2018
Abstract word error rate, small number, operator, matrix, mathematics, machine learning, mnist database, deep learning, artificial neural network, artificial intelligence, architecture
Composable and Versatile Privacy via Truncated CDP
Mark Bun, Cynthia Dwork, Guy N. Rothblum, Thomas Steinke
50th Annual ACM Symposium on the Theory of Computing (STOC), 2018
Mark Bun, Cynthia Dwork, Guy N. Rothblum, Thomas Steinke
50th Annual ACM Symposium on the Theory of Computing (STOC), 2018
Bounded-Velocity Stochastic Control for Dynamic Resource Allocation
Gao, Xuefeng and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Bosman, Joost W
arXiv preprint arXiv:1801.01221, 2018
Abstract
Gao, Xuefeng and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Bosman, Joost W
arXiv preprint arXiv:1801.01221, 2018
Abstract
Stochastic Optimization Models for Workforce Planning, Operations, and Risk Management
Davis, Michael J and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Zhang, Bo
Service Science 10(1), 40--57, INFORMS, 2018
Abstract
Davis, Michael J and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Zhang, Bo
Service Science 10(1), 40--57, INFORMS, 2018
Abstract
Heuristic policies for stochastic knapsack problem with time-varying random demand
Lu, Yingdong
Applied Stochastic Models in Business and Industry, Wiley Online Library, 2018
Abstract
Lu, Yingdong
Applied Stochastic Models in Business and Industry, Wiley Online Library, 2018
Abstract
Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2018 Annual American Control Conference (ACC), pp. 3804-3809
Abstract steady state, scheduling, schedule, scaling, real time computing, optimal control, linear programming, job shop scheduling, control engineering, computer science
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2018 Annual American Control Conference (ACC), pp. 3804-3809
Abstract steady state, scheduling, schedule, scaling, real time computing, optimal control, linear programming, job shop scheduling, control engineering, computer science
An Optimal Scheduling Policy for the 2 X 2 Input-Queued Switch with Symmetric Arrival Rates
Y. Lu, S.T. Maguluri, M.S. Squillante, T. Suk, X. Wu
measurement and modeling of computer systems, pp. 217-223, 2018
Abstract scheduling, real time computing, queue, job shop scheduling, horizon, computer science
Y. Lu, S.T. Maguluri, M.S. Squillante, T. Suk, X. Wu
measurement and modeling of computer systems, pp. 217-223, 2018
Abstract scheduling, real time computing, queue, job shop scheduling, horizon, computer science
Heuristic policies for stochastic knapsack problem with timevarying random demand
Yingdong Lu
Applied Stochastic Models in Business and Industry 34(6), 1007-1016, 2018
Abstract revenue management, monotonic function, mathematical optimization, knapsack problem, heuristic, economics, econometrics, dynamic programming, bellman equation
Yingdong Lu
Applied Stochastic Models in Business and Industry 34(6), 1007-1016, 2018
Abstract revenue management, monotonic function, mathematical optimization, knapsack problem, heuristic, economics, econometrics, dynamic programming, bellman equation
Shared neural coding for social hierarchy and reward value in primate amygdala
J. Munuera, M. Rigotti, C.D. Salzman
Nature Neuroscience, 1, Nature Publishing Group, 2018
Abstract
J. Munuera, M. Rigotti, C.D. Salzman
Nature Neuroscience, 1, Nature Publishing Group, 2018
Abstract
Signatures and mechanisms of low-dimensional neural predictive manifolds
Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti, Eric Shea-Brown
bioRxiv, 2018
Abstract spatial memory, recurrent neural network, predictive learning, network dynamics, machine learning, experimental data, entorhinal cortex, curse of dimensionality, biology, bioinformatics, artificial neural network, artificial intelligence
Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti, Eric Shea-Brown
bioRxiv, 2018
Abstract spatial memory, recurrent neural network, predictive learning, network dynamics, machine learning, experimental data, entorhinal cortex, curse of dimensionality, biology, bioinformatics, artificial neural network, artificial intelligence
The geometry of abstraction in hippocampus and prefrontal cortex
Silvia Bernardi, Marcus K Benna, Mattia Rigotti, Jerome Munuera, Stefano Fusi, Daniel Salzman
bioRxiv, 2018
Abstract prefrontal cortex, inference, hippocampus, geometry, deductive reasoning, cognition, biology, artificial neural network, anterior cingulate cortex, abstraction
Silvia Bernardi, Marcus K Benna, Mattia Rigotti, Jerome Munuera, Stefano Fusi, Daniel Salzman
bioRxiv, 2018
Abstract prefrontal cortex, inference, hippocampus, geometry, deductive reasoning, cognition, biology, artificial neural network, anterior cingulate cortex, abstraction
Efficient ConvNets for Analog Arrays
Malte J Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch
arXiv:1807.01356, 2018
Abstract
Malte J Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch
arXiv:1807.01356, 2018
Abstract
Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits
Lu, Yingdong and Squillante, Mark S and Wah Wu, Chai
ACM SIGMETRICS Performance Evaluation Review 45(2), 160--166, ACM, 2018
Abstract
Lu, Yingdong and Squillante, Mark S and Wah Wu, Chai
ACM SIGMETRICS Performance Evaluation Review 45(2), 160--166, ACM, 2018
Abstract
Understanding Unequal Gender Classification Accuracy from Face Images
Vidya Muthukumar, Tejaswini Pedapati, Nalini Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney
arXiv preprint arXiv:1812.00099, 2018
Abstract suspect, stereotype, pattern recognition, luminance, computer science, cognitive psychology, cheek structure, artificial neural network, artificial intelligence
Vidya Muthukumar, Tejaswini Pedapati, Nalini Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney
arXiv preprint arXiv:1812.00099, 2018
Abstract suspect, stereotype, pattern recognition, luminance, computer science, cognitive psychology, cheek structure, artificial neural network, artificial intelligence
A General Family of Robust Stochastic Operators for Reinforcement Learning
Lu, Yingdong and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1805.08122, 2018
Abstract
Lu, Yingdong and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1805.08122, 2018
Abstract
Record values in appending and prepending bitstrings to runs of binary digits
Chai Wah Wu
arXiv preprint arXiv:1810.02293, 2018
Abstract strings, mathematics, integer, discrete mathematics, binary number, algebra
Chai Wah Wu
arXiv preprint arXiv:1810.02293, 2018
Abstract strings, mathematics, integer, discrete mathematics, binary number, algebra
Numerical Continuation of Invariant Solutions of the Complex Ginzburg-Landau Equation
V. Lopez
Communications in Nonlinear Science and Numerical Simulation 61, 2018
V. Lopez
Communications in Nonlinear Science and Numerical Simulation 61, 2018
VISUALLY CONFIGURABLE PRIVACY ENFORCEMENT
Horesh Lior, Horesh Raya, Pistoia Marco, Tripp Omer
2018
enforcement, computer security, business
Horesh Lior, Horesh Raya, Pistoia Marco, Tripp Omer
2018
enforcement, computer security, business
SYSTEM, METHOD, AND APPARATUS FOR CROWD-SOURCED GATHERING OF APPLICATION EXECUTION EVENTS FOR AUTOMATIC APPLICATION TESTING AND REPLAY
Horesh Lior, Horesh Raya, Pistoia Marco, Tripp Omer
2018
computer science
Horesh Lior, Horesh Raya, Pistoia Marco, Tripp Omer
2018
computer science
Sensory holograms
Aleksandr Y Aravkin, Lior Horesh, Raya Horesh, Dimitri Kanevsky, James J Wynne
US Patent 9,958,829
Aleksandr Y Aravkin, Lior Horesh, Raya Horesh, Dimitri Kanevsky, James J Wynne
US Patent 9,958,829
Experimental design for nonparametric correction of misspecified dynamical models
Gal Shulkind, Lior Horesh, Haim Avron
SIAM/ASA Journal on Uncertainty Quantification 6(2), 880--906, Society for Industrial and Applied Mathematics, 2018
Gal Shulkind, Lior Horesh, Haim Avron
SIAM/ASA Journal on Uncertainty Quantification 6(2), 880--906, Society for Industrial and Applied Mathematics, 2018
System, method, and apparatus for crowd-sourced gathering of application execution events for automatic application testing and replay
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/222,067
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/222,067
Visually configurable privacy enforcement
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/243,278
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/243,278
Low Cost Container Condition Monitor
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 15/272,146
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 15/272,146
Predicting automobile future value and operational costs from automobile and driver information for service and ownership decision optimization
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 15/271,601
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 15/271,601
Multi-level modeling of steam assisted gravity drainage wells
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood Omolade Saliu, Theodore G Van Kessel
US Patent App. 15/275,951
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood Omolade Saliu, Theodore G Van Kessel
US Patent App. 15/275,951
Controlling operation of a steam-assisted gravity drainage oil well system by adjusting controls based on forecast emulsion production
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,189
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,189
Controlling operation of a steam-assisted gravity drainage oil well system by adjusting controls to reduce model uncertainty
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,168
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,168
Controlling operation of a steam-assisted gravity drainage oil well system utilizing continuous and discrete control parameters
Andrew R Conn, Lior Horesh, Mathias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,152
Andrew R Conn, Lior Horesh, Mathias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,152
Cross-well allocation optimization in steam assisted gravity drainage wells
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood Omolade Saliu, Theodore G Van Kessel
US Patent App. 15/276,020
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood Omolade Saliu, Theodore G Van Kessel
US Patent App. 15/276,020
Controlling operation of a steam-assisted gravity drainage oil well system by adjusting multiple time step controls
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,178
Andrew R Conn, Lior Horesh, Matthias Kormaksson, Moshood O Saliu, Theodore G Van Kessel
US Patent App. 15/276,178
Unmanned vehicle for servicing equipment
Guy M Cohen, Lior Horesh, Raya Horesh, Jonathan Lenchner
US Patent App. 15/406,963
Guy M Cohen, Lior Horesh, Raya Horesh, Jonathan Lenchner
US Patent App. 15/406,963
Unmanned vehicle for servicing equipment
Guy M Cohen, Lior Horesh, Raya Horesh, Jonathan Lenchner
US Patent App. 15/810,999
Guy M Cohen, Lior Horesh, Raya Horesh, Jonathan Lenchner
US Patent App. 15/810,999
Tunable miniaturized physical subsurface model for simulation and inversion
Claudius Feger, Lior Horesh, Ulisses T Mello, Maria JB Moura
US Patent App. 10/108,762
Claudius Feger, Lior Horesh, Ulisses T Mello, Maria JB Moura
US Patent App. 10/108,762
Hamiltonian Engineering with Constrained Optimization for Quantum Sensing and Control
Michael F. O'Keeffe, Lior Horesh, Danielle A. Braje, Isaac L. Chuang
https://arxiv.org/abs/1811.02124 pp. arXiv:1811.02124, 2018
Michael F. O'Keeffe, Lior Horesh, Danielle A. Braje, Isaac L. Chuang
https://arxiv.org/abs/1811.02124 pp. arXiv:1811.02124, 2018
Stable Tensor Neural Networks for Rapid Deep Learning
Elizabeth Newman, Lior Horesh, Haim Avron, Misha Kilmer
https://arxiv.org/abs/1811.06569 pp. arXiv: 1811.06569, 2018
Elizabeth Newman, Lior Horesh, Haim Avron, Misha Kilmer
https://arxiv.org/abs/1811.06569 pp. arXiv: 1811.06569, 2018
Ultra-sonic self-cleaning system
Guy M Cohen, Lior Horesh, Raya Horesh, Theodore G Van Kessel, Robert L Wisnieff
US Patent App. 15/593,605
Guy M Cohen, Lior Horesh, Raya Horesh, Theodore G Van Kessel, Robert L Wisnieff
US Patent App. 15/593,605
Ultra-sonic self-cleaning system
Guy M Cohen, Lior Horesh, Raya Horesh, Theodore G Van Kessel, Robert L Wisnieff
US Patent App. 15/806,698
Guy M Cohen, Lior Horesh, Raya Horesh, Theodore G Van Kessel, Robert L Wisnieff
US Patent App. 15/806,698
Optimal experimental design based on mutual information and submodularity
Haim Avron, Guy M Cohen, Lior Horesh, Raya Horesh, Gal Shulkind
US Patent App. 15/614,703
Haim Avron, Guy M Cohen, Lior Horesh, Raya Horesh, Gal Shulkind
US Patent App. 15/614,703
2017
Pseudorandomness and Fourier-Growth Bounds for Width-3 Branching Programs
Thomas Steinke, Salil Vadhan, Andrew Wan
Theory of Computing 13(12), 1--50, 2017
Thomas Steinke, Salil Vadhan, Andrew Wan
Theory of Computing 13(12), 1--50, 2017
Make up your mind: The price of online queries in differential privacy
Mark Bun, Thomas Steinke, Jonathan Ullman
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1306--1325, 2017
Mark Bun, Thomas Steinke, Jonathan Ullman
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1306--1325, 2017
Exposed! A Survey of Attacks on Private Data
Cynthia Dwork, Adam Smith, Thomas Steinke, Jonathan Ullman
Annual Review of Statistics and Its Application pp. 4, Annual Reviews, 2017
Cynthia Dwork, Adam Smith, Thomas Steinke, Jonathan Ullman
Annual Review of Statistics and Its Application pp. 4, Annual Reviews, 2017
Subgaussian Tail Bounds via Stability Arguments
Thomas Steinke, Jonathan Ullman
arXiv preprint arXiv:1701.03493, 2017
Thomas Steinke, Jonathan Ullman
arXiv preprint arXiv:1701.03493, 2017
Differential Privacy: A Primer for a Non-technical Audience
Kobbi Nissim, Thomas Steinke, Alexandra Wood, Mark Bun, Marco Gaboardi, David R O’Brien, Salil Vadhan
2017
Kobbi Nissim, Thomas Steinke, Alexandra Wood, Mark Bun, Marco Gaboardi, David R O’Brien, Salil Vadhan
2017
Tight Lower Bounds for Differentially Private Selection
Thomas Steinke, Jonathan Ullman
IEEE Symposium on Foundations of Computer Science (FOCS), 2017
Thomas Steinke, Jonathan Ullman
IEEE Symposium on Foundations of Computer Science (FOCS), 2017
Generalization for Adaptively-chosen Estimators via Stable Median
Vitaly Feldman, Thomas Steinke
Conference on Learning Theory, 2017
Vitaly Feldman, Thomas Steinke
Conference on Learning Theory, 2017
Bridging the gap between computer science and legal approaches to privacy
Kobbi Nissim, Aaron Bembenek, Alexandra Wood, Mark Bun, Marco Gaboardi, Urs Gasser, David O’Brien, Thomas Steinke, Salil Vadhan
Harvard Journal of Law \& Technology31, 2017
Kobbi Nissim, Aaron Bembenek, Alexandra Wood, Mark Bun, Marco Gaboardi, Urs Gasser, David O’Brien, Thomas Steinke, Salil Vadhan
Harvard Journal of Law \& Technology31, 2017
Calibrating Noise to Variance in Adaptive Data Analysis
Vitaly Feldman, Thomas Steinke
arXiv preprint arXiv:1712.07196, 2017
Vitaly Feldman, Thomas Steinke
arXiv preprint arXiv:1712.07196, 2017
On Optimal Portfolios of Dynamic Resource Allocations
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1702.07781, 2017
Abstract
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1702.07781, 2017
Abstract
On Optimal Weighted-Delay Scheduling in Input-Queued Switches
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon
arXiv preprint arXiv:1704.02302, 2017
Abstract
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon
arXiv preprint arXiv:1704.02302, 2017
Abstract
Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex
G. W. Lindsay, M. Rigotti, M. R. Warden, E. K. Miller, S. Fusi
Journal of Neuroscience 37(45), 11021-11036, 2017
Abstract
G. W. Lindsay, M. Rigotti, M. R. Warden, E. K. Miller, S. Fusi
Journal of Neuroscience 37(45), 11021-11036, 2017
Abstract
Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus
S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C.D. Salzman
Biological Psychiatry 81(10), S272, Elsevier, 2017
Abstract
S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C.D. Salzman
Biological Psychiatry 81(10), S272, Elsevier, 2017
Abstract
The hippocampus as a predictive recurrent neural network
S. Recanatesi, G. Wayne, M. Rigotti
Cosyne: Computational and Systems Neuroscience Conference , 2017
Abstract
S. Recanatesi, G. Wayne, M. Rigotti
Cosyne: Computational and Systems Neuroscience Conference , 2017
Abstract
Characterizing human prefrontal cortex representations with fMRI
A. Bhandari, M. Rigotti, C. Gagne, S. Fusi, D. Badre
Society for Neuroscience Meeting (Washington DC), 2017
Abstract
A. Bhandari, M. Rigotti, C. Gagne, S. Fusi, D. Badre
Society for Neuroscience Meeting (Washington DC), 2017
Abstract
Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits
Lu, Yingdong and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1709.10345, 2017
Abstract
Lu, Yingdong and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1709.10345, 2017
Abstract
Allocating resources among tasks under uncertainty
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
US Patent App. 15/081,827
Abstract
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
US Patent App. 15/081,827
Abstract
On the control of density-dependent stochastic population processes with time-varying behavior
Lu, Yingdong and Squillante, Mark and Wu, Chai Wah
arXiv preprint arXiv:1709.07988, 2017
Abstract
Lu, Yingdong and Squillante, Mark and Wu, Chai Wah
arXiv preprint arXiv:1709.07988, 2017
Abstract
On Optimal Portfolios of Dynamic Resource Allocations
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1702.07781, 2017
Abstract
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
arXiv preprint arXiv:1702.07781, 2017
Abstract
Mechanism for generating a hybrid halftone using a DMSSA screen
Chandu, Kartheek and Stanich, Mikel J and Wu, Chai Wah and Trager, Barry M
US Patent 9,614,998
Abstract
Chandu, Kartheek and Stanich, Mikel J and Wu, Chai Wah and Trager, Barry M
US Patent 9,614,998
Abstract
Halftone calibration mechanism employing an ink model
Chandu, Kartheek and Ernst, Larry and Vantaram, Sreenath Rao and Stanich, Mikel J and Wu, Chai Wah
US Patent 9,621,762
Abstract
Chandu, Kartheek and Ernst, Larry and Vantaram, Sreenath Rao and Stanich, Mikel J and Wu, Chai Wah
US Patent 9,621,762
Abstract
Efficient solution of quadratically constrained quadratic subproblems within the MADS algorithm
Nadir Amaioua, Charles Audet, Andrew R. Conn and Sebastien Le Digabel
European Journal of Operational Research, 2017
Complete List of Publications
Nadir Amaioua, Charles Audet, Andrew R. Conn and Sebastien Le Digabel
European Journal of Operational Research, 2017
Complete List of Publications
Wireless Sensor Platform for Cultural Heritage Monitoring and Modeling System
L. J. Klein, S. A. Bermudez, A. G. Schrott, M. Tsukada, P. Dionisi-Vici, L. Kargere, F. Marianno, H. F. Hamann, V. Lopez, M. Leona
Sensors 17(9), 2017
L. J. Klein, S. A. Bermudez, A. G. Schrott, M. Tsukada, P. Dionisi-Vici, L. Kargere, F. Marianno, H. F. Hamann, V. Lopez, M. Leona
Sensors 17(9), 2017
Numerical Continuation of Invariant Solutions of the Complex Ginzburg-Landau Equation
V. Lopez
Foundations of Computational Mathematics (FoCM) Conference, 2017
V. Lopez
Foundations of Computational Mathematics (FoCM) Conference, 2017
Simulating Heat and Mass Transfer with Limited Amount of Sensor Data
V. Lopez
In: Quintela P. et al. (eds) Progress in Industrial Mathematics at ECMI 2016. Mathematics in Industry, vol 26., Springer, 2017
V. Lopez
In: Quintela P. et al. (eds) Progress in Industrial Mathematics at ECMI 2016. Mathematics in Industry, vol 26., Springer, 2017
Globally convergent system and method for automated model discovery
Haim Avron, Lior Horesh, Leo S. Liberti, David Nahamoo
operator, operand, observational study, mathematics, mathematical optimization, machine learning, binary expression tree, artificial intelligence
Abstract
Haim Avron, Lior Horesh, Leo S. Liberti, David Nahamoo
operator, operand, observational study, mathematics, mathematical optimization, machine learning, binary expression tree, artificial intelligence
Abstract
REDUCED SPACE CLUSTERING REPRESENTATIVES AND ITS APPLICATION TO LONG TERM PREDICTION
Andrew R. Conn, Lior Horesh, Ulisses T. Mello, Essen Gijs Michiel Van, Sippe Geert Douma, Eduardo Antonio Jimenez Arismendi
mathematics, machine learning, long term prediction, data mining, cluster analysis, artificial intelligence
Abstract
Andrew R. Conn, Lior Horesh, Ulisses T. Mello, Essen Gijs Michiel Van, Sippe Geert Douma, Eduardo Antonio Jimenez Arismendi
mathematics, machine learning, long term prediction, data mining, cluster analysis, artificial intelligence
Abstract
Image classification using local tensor singular value decompositions
Elizabeth Newman, Misha Kilmer, Lior Horesh
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 1-5
Abstract tensor contraction, tensor algebra, tensor, symmetric tensor, singular value decomposition, mathematics, machine learning, mnist database, contextual image classification, artificial neural network, artificial intelligence
Elizabeth Newman, Misha Kilmer, Lior Horesh
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 1-5
Abstract tensor contraction, tensor algebra, tensor, symmetric tensor, singular value decomposition, mathematics, machine learning, mnist database, contextual image classification, artificial neural network, artificial intelligence
Location Oriented Membership Code Device
Guy M. Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
computer science
Guy M. Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
computer science
Automatic Eradication of Bio-Related Contaminants from Handles
Amos Cahan, Guy M. Cohen, Lior Horesh, Raya Horesh
ultraviolet, optoelectronics, materials science, contamination, common emitter, coating
Abstract
Amos Cahan, Guy M. Cohen, Lior Horesh, Raya Horesh
ultraviolet, optoelectronics, materials science, contamination, common emitter, coating
Abstract
USING NATURAL LANGUAGE PROCESSING FOR DETECTION OF INTENDED OR UNEXPECTED APPLICATION BEHAVIOR
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
natural language processing, graphical user interface, computer science, artificial intelligence
Abstract
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
natural language processing, graphical user interface, computer science, artificial intelligence
Abstract
SYSTEM, METHOD AND APPARATUS FOR DERIVING ROOT CAUSE FOR SOFTWARE TEST FAILURE
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
timeline, software, root cause, real time computing, observable, flags register, conditional probability, computer science
Abstract
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
timeline, software, root cause, real time computing, observable, flags register, conditional probability, computer science
Abstract
SYSTEM AND METHOD FOR DISCOVERING AD-HOC COMMUNITIES OVER LARGE-SCALE IMPLICIT NETWORKS BY WAVE RELAXATION
Haim Avron, Lior Horesh, Raya Horesh, Omer Tripp
sorting, prefix, mathematics, mathematical optimization, magnitude, machine learning, initial value problem, artificial intelligence
Abstract
Haim Avron, Lior Horesh, Raya Horesh, Omer Tripp
sorting, prefix, mathematics, mathematical optimization, magnitude, machine learning, initial value problem, artificial intelligence
Abstract
METHODS AND APPARATUS FOR COMPUTING ZONAL FLOW RATES IN RESERVOIR WELLS
Lior Horesh, Ankur Narang, Karthik Visweswariah
zonal flow, mathematical optimization, machine learning, generative model, generative grammar, divergence, computer science, artificial intelligence
Abstract
Lior Horesh, Ankur Narang, Karthik Visweswariah
zonal flow, mathematical optimization, machine learning, generative model, generative grammar, divergence, computer science, artificial intelligence
Abstract
Systems and methods for accelerating Hessian-free optimization for deep neural networks by implicit preconditioning and sampling
Lior Horesh, Brian ED Kingsbury, Tara N Sainath
US Patent 9,601,109
Lior Horesh, Brian ED Kingsbury, Tara N Sainath
US Patent 9,601,109
Globally convergent system and method for automated model discovery
Haim Avron, Lior Horesh, Leo S Liberti, David Nahamoo
US Patent App. 14/755,942
Haim Avron, Lior Horesh, Leo S Liberti, David Nahamoo
US Patent App. 14/755,942
Crowd-based detection of device compromise in enterprise setting
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent 20,170,093,899
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent 20,170,093,899
Reduced space clustering representatives and its application to long term prediction
Andrew R Conn, Lior Horesh, Ulisses T Mello, Gijs Michiel van Essen, Sippe Geert Douma, Eduardo Antonio Jimenez Arismendi
US Patent App. 14/922,637
Andrew R Conn, Lior Horesh, Ulisses T Mello, Gijs Michiel van Essen, Sippe Geert Douma, Eduardo Antonio Jimenez Arismendi
US Patent App. 14/922,637
Methods and apparatus for computing zonal flow rates in reservoir wells
Lior Horesh, Ankur Narang, Karthik Visweswariah
US Patent App. 14/951,904
Lior Horesh, Ankur Narang, Karthik Visweswariah
US Patent App. 14/951,904
System and method for discovering ad-hoc communities over large-scale implicit networks by wave relaxation
Haim Avron, Lior Horesh, Raya Horesh, Omer Tripp
US Patent App. 14/954,633
Haim Avron, Lior Horesh, Raya Horesh, Omer Tripp
US Patent App. 14/954,633
Image classification using local tensor singular value decompositions
Elizabeth Newman, Misha Kilmer, Lior Horesh
IEEE CAMSAP, 2017
Elizabeth Newman, Misha Kilmer, Lior Horesh
IEEE CAMSAP, 2017
Medication Dispenser System with Exact Personal Dosing
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 14/979,333
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 14/979,333
Breaking the 49-Qubit Barrier in the Simulation of Quantum Circuits
Edwin Pednault, John A. Gunnels, Giacomo Nannicini, Lior Horesh, Thomas Magerlein, Edgar Solomonik, Robert Wisnieff
https://arxiv.org/abs/1710.05867, 2017
Edwin Pednault, John A. Gunnels, Giacomo Nannicini, Lior Horesh, Thomas Magerlein, Edgar Solomonik, Robert Wisnieff
https://arxiv.org/abs/1710.05867, 2017
Globally optimal symbolic regression
V. Austel, S. Dash, O. Gunluk, L. Horesh, L. Liberti, G. Nannicini, B. Schieber
NIPS Interpretable ML Workshop, 2017
V. Austel, S. Dash, O. Gunluk, L. Horesh, L. Liberti, G. Nannicini, B. Schieber
NIPS Interpretable ML Workshop, 2017
Location Oriented Membership Code Device
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent App. 15/090,941
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent App. 15/090,941
Should You Derive, Or Let the Data Drive? An Optimization Framework for Hybrid First-Principles Data-Driven Modeling
Remi R. Lam, Lior Horesh, Haim Avron, Karen E. Willcox
https://arxiv.org/abs/1711.04374, 2017
Remi R. Lam, Lior Horesh, Haim Avron, Karen E. Willcox
https://arxiv.org/abs/1711.04374, 2017
Automatic Eradication of Bio-Related Contaminants from Handles
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 15/157,922
Amos Cahan, Guy M Cohen, Lior Horesh, Raya Horesh
US Patent App. 15/157,922
Protecting content displayed on a mobile device
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent 9,703,990
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent 9,703,990
System, method and apparatus for deriving root cause for software test failure
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/162,979
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/162,979
Reducing Hazards During Mobile Device Use
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent App. 15/163,294
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent App. 15/163,294
Using natural language processing for detection of intended or unexpected application behavior
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/159,526
Lior Horesh, Raya Horesh, Marco Pistoia, Omer Tripp
US Patent App. 15/159,526
Protecting content displayed on a mobile device
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent 9,684,804
Guy M Cohen, Lior Horesh, Raya Horesh, Marco Pistoia
US Patent 9,684,804
Systems and methods for accelerating hessian-free optimization for deep neural networks by implicit preconditioning and sampling
Lior Horesh, Brian ED Kingsbury, Tara N Sainath
US Patent App. 15/373,775
Lior Horesh, Brian ED Kingsbury, Tara N Sainath
US Patent App. 15/373,775
2016
Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations
Wollega, Ebisa D and Ghosh, Soumyadip and Squillante, Mark S
Winter Simulation Conference (WSC), 2016, pp. 1769--1780
Abstract
Wollega, Ebisa D and Ghosh, Soumyadip and Squillante, Mark S
Winter Simulation Conference (WSC), 2016, pp. 1769--1780
Abstract
Accelerating splitting algorithms for power grid reliability estimation
Wadman, Wander S and Squillante, Mark S and Ghosh, Soumyadip
Proceedings of the 2016 Winter Simulation Conference, pp. 1757--1768
Abstract
Wadman, Wander S and Squillante, Mark S and Ghosh, Soumyadip
Proceedings of the 2016 Winter Simulation Conference, pp. 1757--1768
Abstract
Optimal resource capacity management for stochastic networks
AB Dieker, S Ghosh, MS Squillante
Operations Research, Dec 2016, INFORMS
AB Dieker, S Ghosh, MS Squillante
Operations Research, Dec 2016, INFORMS
Between Pure and Approximate Differential Privacy
Thomas Steinke, Jonathan Ullman
Journal of Privacy and Confidentiality, 2016
Thomas Steinke, Jonathan Ullman
Journal of Privacy and Confidentiality, 2016
Concentrated differential privacy: Simplifications, extensions, and lower bounds
Mark Bun, Thomas Steinke
Theory of Cryptography Conference, pp. 635--658, 2016
Mark Bun, Thomas Steinke
Theory of Cryptography Conference, pp. 635--658, 2016
Algorithmic stability for adaptive data analysis
Raef Bassily, Kobbi Nissim, Adam Smith, Thomas Steinke, Uri Stemmer, Jonathan Ullman
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing, pp. 1046--1059, 2016
Raef Bassily, Kobbi Nissim, Adam Smith, Thomas Steinke, Uri Stemmer, Jonathan Ullman
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing, pp. 1046--1059, 2016
Upper and Lower Bounds for Privacy and Adaptivity in Algorithmic Data Analysis
Thomas Alexander Steinke
Ph.D. Thesis, 2016
Thomas Alexander Steinke
Ph.D. Thesis, 2016
Managing uncertainty in electricity generation and demand forecasting
K Warren, R Ambrosio, B Chen, YH Fu, S Ghosh, Dzung T. Phan, M Sinn, CH Tian, C Visweswariah
IBM Journal of Research and Development 60(1), 8--1, IBM, 2016
K Warren, R Ambrosio, B Chen, YH Fu, S Ghosh, Dzung T. Phan, M Sinn, CH Tian, C Visweswariah
IBM Journal of Research and Development 60(1), 8--1, IBM, 2016
Efficient Estimation in the Tails of Gaussian Copulas
Kalyani Nagaraj, Jie Xu, Raghu Pasupathy, Soumyadip Ghosh
arXiv preprint arXiv:1607.01375, 2016
Kalyani Nagaraj, Jie Xu, Raghu Pasupathy, Soumyadip Ghosh
arXiv preprint arXiv:1607.01375, 2016
Predicting and mitigating congestion for an electric power system under load and renewable uncertainty
Dzung T Phan, Soumyadip Ghosh
American Control Conference (ACC) , pp. 6791--6796, 2016
Dzung T Phan, Soumyadip Ghosh
American Control Conference (ACC) , pp. 6791--6796, 2016
STOCHASTIC OPTIMAL DYNAMIC CONTROL OF GI m/GI m/1 n QUEUES WITH TIME-VARYING WORKLOADS
Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Zhang, Bo
Probability in the Engineering and Informational Sciences 30(03), 470--491, Cambridge Univ Press, 2016
Abstract
Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Zhang, Bo
Probability in the Engineering and Informational Sciences 30(03), 470--491, Cambridge Univ Press, 2016
Abstract
Risk-Based Dynamic Allocation of Computing Resources
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
ACM SIGMETRICS Performance Evaluation Review 44(2), 27--29, ACM, 2016
Abstract
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
ACM SIGMETRICS Performance Evaluation Review 44(2), 27--29, ACM, 2016
Abstract
Asymptotic optimality of constant-order policies for lost sales inventory models with large lead times
Goldberg, David A and Katz-Rogozhnikov, Dmitriy A and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S
Mathematics of Operations Research, INFORMS, 2016
Abstract
Goldberg, David A and Katz-Rogozhnikov, Dmitriy A and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S
Mathematics of Operations Research, INFORMS, 2016
Abstract
Delay-Optimal Scheduling for Some Input-Queued Switches
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon
ACM SIGMETRICS Performance Evaluation Review 44(2), 45--47, ACM, 2016
Abstract
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon
ACM SIGMETRICS Performance Evaluation Review 44(2), 45--47, ACM, 2016
Abstract
Why neurons mix: high dimensionality for higher cognition
S. Fusi, E.K. Miller, M. Rigotti
Current Opinion in Neurobiology37, 66-74, 2016
Abstract
S. Fusi, E.K. Miller, M. Rigotti
Current Opinion in Neurobiology37, 66-74, 2016
Abstract
Energy-efficient neuromorphic classifiers
D. Marti, M. Rigotti, M. Seok, S. Fusi
Neural Computation, 2016
Abstract
D. Marti, M. Rigotti, M. Seok, S. Fusi
Neural Computation, 2016
Abstract
Neurophysiological mechanisms for representing abstract components of mental states
J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman
Society for Neuroscience Meeting (San Diego CA), Society for Neuroscience, 2016
Abstract
J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman
Society for Neuroscience Meeting (San Diego CA), Society for Neuroscience, 2016
Abstract
Cortico-hippocampal contribution to the generation of contextual information
S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman
Society for Neuroscience Meeting (San Diego CA), Society for Neuroscience, 2016
Abstract
S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman
Society for Neuroscience Meeting (San Diego CA), Society for Neuroscience, 2016
Abstract
Gersgorin variations IV: A left eigenvector approach
Alan J. Hoffman, Chai Wah Wu
Linear Algebra and its Applications498, 136-144, 2016
Abstract singularity, matrix, mathematics, mathematical proof, mathematical analysis, generalized eigenvector, generalization, eigenvalues and eigenvectors, combinatorics
Alan J. Hoffman, Chai Wah Wu
Linear Algebra and its Applications498, 136-144, 2016
Abstract singularity, matrix, mathematics, mathematical proof, mathematical analysis, generalized eigenvector, generalization, eigenvalues and eigenvectors, combinatorics
A Simple Proof of a Generalized Cauchy-Binet Theorem
Alan J. Hoffman, Chai Wah Wu
American Mathematical Monthly 123(9), 2016
Abstract proofs of fermat s little theorem, proof of impossibility, picard lindelof theorem, mathematics, mathematical analysis, factor theorem, elementary proof, danskin s theorem, carlson s theorem, analytic proof
Alan J. Hoffman, Chai Wah Wu
American Mathematical Monthly 123(9), 2016
Abstract proofs of fermat s little theorem, proof of impossibility, picard lindelof theorem, mathematics, mathematical analysis, factor theorem, elementary proof, danskin s theorem, carlson s theorem, analytic proof
Distributed charging of electrical assets
Soumyadip Ghosh, Dung Phan, Mayank Sharma, Chai Wah Wu, JinJun Xiong
US Patent 9,260,031
Soumyadip Ghosh, Dung Phan, Mayank Sharma, Chai Wah Wu, JinJun Xiong
US Patent 9,260,031
Online Updating of Computer Model Output Using Real-time Sensor Data
H. Jiang, X. Deng, V. Lopez, and H. Hamann
Technometrics 58(4), 2016
H. Jiang, X. Deng, V. Lopez, and H. Hamann
Technometrics 58(4), 2016
TUNABLE MINIATURIZED PHYSICAL SUBSURFACE MODEL FOR SIMULATION AND INVERSION
Feger, Claudius and Horesh, Lior and Mello, Ulisses T and Moura, Maria JB
US Patent 20,160,098,498
Feger, Claudius and Horesh, Lior and Mello, Ulisses T and Moura, Maria JB
US Patent 20,160,098,498
INDUCED CONTROL EXCITATION FOR ENHANCED RESERVOIR FLOW CHARACTERIZATION
Conn, Andrew R and Horesh, Lior and Jimenez Arismendi, Eduardo Antonio and Mello, Ulisses and Van Essen, Gijs
US Patent 20,160,032,692
Conn, Andrew R and Horesh, Lior and Jimenez Arismendi, Eduardo Antonio and Mello, Ulisses and Van Essen, Gijs
US Patent 20,160,032,692
Protecting content displayed on a mobile device
Cohen, Guy M and Horesh, Lior and Horesh, Raya and Pistoia, Marco
US Patent 9,443,102
Abstract
Cohen, Guy M and Horesh, Lior and Horesh, Raya and Pistoia, Marco
US Patent 9,443,102
Abstract
VIRTUAL SENSING FOR ADJOINT BASED INCORPORATION OF SUPPLEMENTARY DATA SOURCES IN INVERSION
Conn, Andrew R and Douma, Sippe and Van Essen, Gijs and Horesh, Lior and Arismendi Jimenez, Eduardo Antonio and Mello, Ulisses
US Patent 20,160,356,904
Abstract
Conn, Andrew R and Douma, Sippe and Van Essen, Gijs and Horesh, Lior and Arismendi Jimenez, Eduardo Antonio and Mello, Ulisses
US Patent 20,160,356,904
Abstract
PROTECTING CONTENT DISPLAYED ON A MOBILE DEVICE
Cohen, Guy M and Horesh, Lior and Horesh, Raya and Pistoia, Marco
US Patent 20,160,358,014
Abstract
Cohen, Guy M and Horesh, Lior and Horesh, Raya and Pistoia, Marco
US Patent 20,160,358,014
Abstract
Risk-Based Dynamic Allocation of Computing Resources
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
ACM SIGMETRICS Performance Evaluation Review 44(2), 27--29, ACM, 2016
Abstract
Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah
ACM SIGMETRICS Performance Evaluation Review 44(2), 27--29, ACM, 2016
Abstract
Control localization in networks of dynamical systems connected via a weighted tree
Bapat, Ravindra and Wu, Chai Wah
IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2016
Abstract
Bapat, Ravindra and Wu, Chai Wah
IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2016
Abstract
Halftone mechanism
Chandu, Kartheek and Stanich, Mikel J and Wu, Chai Wah and Trager, Barry M
US Patent 9,363,414
Abstract
Chandu, Kartheek and Stanich, Mikel J and Wu, Chai Wah and Trager, Barry M
US Patent 9,363,414
Abstract
Toner Estimation Mechanism
Wu, Chai Wah and Trager, Barry M and Stanich, Mikel J and Chandu, Kartheek
US Patent 9,229,408
Abstract
Wu, Chai Wah and Trager, Barry M and Stanich, Mikel J and Chandu, Kartheek
US Patent 9,229,408
Abstract
Ger{\v{s}}gorin variations IV: A left eigenvector approach
Hoffman, Alan J and Wu, Chai Wah
Linear Algebra and its Applications498, 136--144, Elsevier, 2016
Abstract
Hoffman, Alan J and Wu, Chai Wah
Linear Algebra and its Applications498, 136--144, Elsevier, 2016
Abstract
A Simple Proof of a Generalized Cauchy--Binet Theorem
Hoffman, Alan J and Wu, Chai Wah
American Mathematical Monthly 123(9), 928--930, Mathematical Association of America, 2016
Abstract
Hoffman, Alan J and Wu, Chai Wah
American Mathematical Monthly 123(9), 928--930, Mathematical Association of America, 2016
Abstract
Sums of products of binomial coefficients mod 2 and run length transforms of sequences
Wu, Chai Wah
arXiv preprint arXiv:1610.06166, 2016
Abstract
Wu, Chai Wah
arXiv preprint arXiv:1610.06166, 2016
Abstract
Counting the number of isosceles triangles in rectangular regular grids
Wu, Chai Wah
arXiv preprint arXiv:1605.00180, 2016
Abstract
Wu, Chai Wah
arXiv preprint arXiv:1605.00180, 2016
Abstract
Graph comparison and synchronization in complex networks
Liu, Hui and Cao, Ming and Wu, Chai Wah
Oscillator Circuits: Frontiers in Design, Analysis and Applications32, 183, IET, 2016
Liu, Hui and Cao, Ming and Wu, Chai Wah
Oscillator Circuits: Frontiers in Design, Analysis and Applications32, 183, IET, 2016
Minimal number of points on a grid forming patterns of blocks
Wu, Chai Wah
arXiv preprint arXiv:1608.07247, 2016
Abstract
Wu, Chai Wah
arXiv preprint arXiv:1608.07247, 2016
Abstract
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion
Jialei Wang, Peder A. Olsen, Andrew R. Conn, and Aurelie C. Lozano
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2754-2763, 2016
Complete List of Publications
Jialei Wang, Peder A. Olsen, Andrew R. Conn, and Aurelie C. Lozano
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2754-2763, 2016
Complete List of Publications
Simulating Heat and Mass Transfer with Limited Amount of Sensor Data
V. Lopez
19th European Conference on Mathematics for Industry (ECMI 2016)
V. Lopez
19th European Conference on Mathematics for Industry (ECMI 2016)
Input device for preventing password theft by thermal imaging
Guy M. Cohen, Lior Horesh, Mayank Sharma
password, key, input device, engineering, embedded system, controller, computer hardware
Abstract
Guy M. Cohen, Lior Horesh, Mayank Sharma
password, key, input device, engineering, embedded system, controller, computer hardware
Abstract
Induced control excitation for enhanced reservoir flow characterization
Andrew R Conn, Lior Horesh, Eduardo Antonio Jimenez Arismendi, Ulisses Mello, Gijs Van Essen
US Patent App. 14/447,165
Andrew R Conn, Lior Horesh, Eduardo Antonio Jimenez Arismendi, Ulisses Mello, Gijs Van Essen
US Patent App. 14/447,165
Tunable miniaturized physical subsurface model for simulation and inversion
Claudius Feger, Lior Horesh, Ulisses T Mello, Maria JB Moura
US Patent App. 14/505,623
Claudius Feger, Lior Horesh, Ulisses T Mello, Maria JB Moura
US Patent App. 14/505,623
Detection and imaging of subsurface high impedance contrast objects
Eldad Haber, Lior Horesh
US Patent App. 14/971,218
Eldad Haber, Lior Horesh
US Patent App. 14/971,218
Virtual sensing for adjoint based incorporation of supplementary data sources in inversion
Andrew R. Conn, Sippe Douma, Gijs Van Essen, Lior Horesh, Eduardo Antonio Arismendi Jimenez, Ulisses Mello
US Patent 20,160,356,904
Andrew R. Conn, Sippe Douma, Gijs Van Essen, Lior Horesh, Eduardo Antonio Arismendi Jimenez, Ulisses Mello
US Patent 20,160,356,904
Input device for preventing password theft by thermal imaging
Guy M Cohen, Lior Horesh, Mayank Sharma
US Patent App. 14/739,725
Guy M Cohen, Lior Horesh, Mayank Sharma
US Patent App. 14/739,725
System and Method for Adaptive Hierarchical Meta Level Modelling of SAGD Processes
L. Horesh, A.R. Conn, M. Kormaksson, O. Saliu, T. G. van Kessel
Tech Discl Bulletin, 2016
L. Horesh, A.R. Conn, M. Kormaksson, O. Saliu, T. G. van Kessel
Tech Discl Bulletin, 2016
System and Method for Optimal SAGD Operation Control and Sensitivity Analysis by Symbolic Differentiation of Implicit Predictive Models
L. Horesh, A. R. Conn, M. Kormaksson, O. Saliu, T. G. van Kessel
Tech Discl Bulletin, 2016
L. Horesh, A. R. Conn, M. Kormaksson, O. Saliu, T. G. van Kessel
Tech Discl Bulletin, 2016
Globally optimal Mixed Integer Non-Linear Programming (MINLP) formulation for symbolic regression
Lior Horesh, Leo Liberti, Haim Avron
IBM Technical Report pp. ID 219095, 2016
Lior Horesh, Leo Liberti, Haim Avron
IBM Technical Report pp. ID 219095, 2016
Globally Optimal MINLP Formulation for Symbolic Regression
Lior Horesh, Leo Liberti, Haim Avron
2016
Lior Horesh, Leo Liberti, Haim Avron
2016