## Mathematics of AI Publications

**2019**

A Family of Robust Stochastic Operators for Reinforcement Learning

Yingdong Lu, Mark Squillante, Chai Wah Wu

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

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

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

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*, 2018Abstract 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

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*, 2018Abstract 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

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*, 2018Abstract 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

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

Abstract

Gao, Xuefeng and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Bosman, Joost W

*arXiv preprint arXiv:1801.01221*, 2018Abstract

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

Abstract

Davis, Michael J and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S and Zhang, Bo

*Service Science**10*(*1*), 40--57, INFORMS, 2018Abstract

Heuristic policies for stochastic knapsack problem with time-varying random demand

Lu, Yingdong

Abstract

Lu, Yingdong

*Applied Stochastic Models in Business and Industry*, Wiley Online Library, 2018Abstract

Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic

Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk

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

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*, 2018Abstract scheduling, real time computing, queue, job shop scheduling, horizon, computer science

Heuristic policies for stochastic knapsack problem with timevarying random demand

Yingdong Lu

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, 2018Abstract 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

Abstract

J. Munuera, M. Rigotti, C.D. Salzman

*Nature Neuroscience*, 1, Nature Publishing Group, 2018Abstract

Signatures and mechanisms of low-dimensional neural predictive manifolds

Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Deneve, Mattia Rigotti, Eric Shea-Brown

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*, 2018Abstract 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

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*, 2018Abstract 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

Abstract

Malte J Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch

*arXiv:1807.01356*, 2018Abstract

Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits

Lu, Yingdong and Squillante, Mark S and Wah Wu, Chai

Abstract

Lu, Yingdong and Squillante, Mark S and Wah Wu, Chai

*ACM SIGMETRICS Performance Evaluation Review**45*(*2*), 160--166, ACM, 2018Abstract

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

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*, 2018Abstract 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

Abstract

Lu, Yingdong and Squillante, Mark S and Wu, Chai Wah

*arXiv preprint arXiv:1805.08122*, 2018Abstract

Record values in appending and prepending bitstrings to runs of binary digits

Chai Wah Wu

Abstract strings, mathematics, integer, discrete mathematics, binary number, algebra

Chai Wah Wu

*arXiv preprint arXiv:1810.02293*, 2018Abstract strings, mathematics, integer, discrete mathematics, binary number, algebra

Numerical Continuation of Invariant Solutions of the Complex Ginzburg-Landau Equation

V. Lopez

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

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

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

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

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

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

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

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

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

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

Kobbi Nissim, Aaron Bembenek, Alexandra Wood, Mark Bun, Marco Gaboardi, Urs Gasser, David O’Brien, Thomas Steinke, Salil Vadhan

*Harvard Journal of Law \& Technology**31*, 2017
Calibrating Noise to Variance in Adaptive Data Analysis

Vitaly Feldman, Thomas Steinke

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

Abstract

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah

*arXiv preprint arXiv:1702.07781*, 2017Abstract

On Optimal Weighted-Delay Scheduling in Input-Queued Switches

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon

Abstract

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon

*arXiv preprint arXiv:1704.02302*, 2017Abstract

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

Abstract

G. W. Lindsay, M. Rigotti, M. R. Warden, E. K. Miller, S. Fusi

*Journal of Neuroscience**37*(*45*), 11021-11036, 2017Abstract

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

Abstract

S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C.D. Salzman

*Biological Psychiatry**81*(*10*), S272, Elsevier, 2017Abstract

The hippocampus as a predictive recurrent neural network

S. Recanatesi, G. Wayne, M. Rigotti

Abstract

S. Recanatesi, G. Wayne, M. Rigotti

*Cosyne: Computational and Systems Neuroscience Conference*, 2017Abstract

Characterizing human prefrontal cortex representations with fMRI

A. Bhandari, M. Rigotti, C. Gagne, S. Fusi, D. Badre

Abstract

A. Bhandari, M. Rigotti, C. Gagne, S. Fusi, D. Badre

*Society for Neuroscience Meeting (Washington DC)*, 2017Abstract

Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits

Lu, Yingdong and Squillante, Mark S and Wu, Chai Wah

Abstract

Lu, Yingdong and Squillante, Mark S and Wu, Chai Wah

*arXiv preprint arXiv:1709.10345*, 2017Abstract

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

Abstract

Lu, Yingdong and Squillante, Mark and Wu, Chai Wah

*arXiv preprint arXiv:1709.07988*, 2017Abstract

On Optimal Portfolios of Dynamic Resource Allocations

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah

Abstract

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah

*arXiv preprint arXiv:1702.07781*, 2017Abstract

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

Complete List of Publications

Nadir Amaioua, Charles Audet, Andrew R. Conn and Sebastien Le Digabel

*European Journal of Operational Research*, 2017Complete 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

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

V. Lopez

*Foundations of Computational Mathematics (FoCM) Conference*, 2017
Simulating Heat and Mass Transfer with Limited Amount of Sensor Data

V. Lopez

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

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

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

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

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

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

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

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

AB Dieker, S Ghosh, MS Squillante

*Operations Research**, Dec 2016*, INFORMS
Between Pure and Approximate Differential Privacy

Thomas Steinke, Jonathan Ullman

Thomas Steinke, Jonathan Ullman

*Journal of Privacy and Confidentiality*, 2016
Concentrated differential privacy: Simplifications, extensions, and lower bounds

Mark Bun, Thomas Steinke

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

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

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

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

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

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, 2016Abstract

Risk-Based Dynamic Allocation of Computing Resources

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Wu, Chai Wah

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, 2016Abstract

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

Abstract

Goldberg, David A and Katz-Rogozhnikov, Dmitriy A and Lu, Yingdong and Sharma, Mayank and Squillante, Mark S

*Mathematics of Operations Research*, INFORMS, 2016Abstract

Delay-Optimal Scheduling for Some Input-Queued Switches

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon

Abstract

Lu, Yingdong and Maguluri, Siva Theja and Squillante, Mark S and Suk, Tonghoon

*ACM SIGMETRICS Performance Evaluation Review**44*(*2*), 45--47, ACM, 2016Abstract

Why neurons mix: high dimensionality for higher cognition

S. Fusi, E.K. Miller, M. Rigotti

Abstract

S. Fusi, E.K. Miller, M. Rigotti

*Current Opinion in Neurobiology**37*, 66-74, 2016Abstract

Energy-efficient neuromorphic classifiers

D. Marti, M. Rigotti, M. Seok, S. Fusi

Abstract

D. Marti, M. Rigotti, M. Seok, S. Fusi

*Neural Computation*, 2016Abstract

Neurophysiological mechanisms for representing abstract components of mental states

J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman

Abstract

J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman

*Society for Neuroscience Meeting (San Diego CA)*, Society for Neuroscience, 2016Abstract

Cortico-hippocampal contribution to the generation of contextual information

S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman

Abstract

S. Bernardi, J. Munuera, M. Rigotti, S. Fusi, C. D. Salzman

*Society for Neuroscience Meeting (San Diego CA)*, Society for Neuroscience, 2016Abstract

Gersgorin variations IV: A left eigenvector approach

Alan J. Hoffman, Chai Wah Wu

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 Applications**498*, 136-144, 2016Abstract 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

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*), 2016Abstract 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

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

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, 2016Abstract

Control localization in networks of dynamical systems connected via a weighted tree

Bapat, Ravindra and Wu, Chai Wah

Abstract

Bapat, Ravindra and Wu, Chai Wah

*IEEE Transactions on Systems, Man, and Cybernetics: Systems*, IEEE, 2016Abstract

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

Abstract

Hoffman, Alan J and Wu, Chai Wah

*Linear Algebra and its Applications**498*, 136--144, Elsevier, 2016Abstract

A Simple Proof of a Generalized Cauchy--Binet Theorem

Hoffman, Alan J and Wu, Chai Wah

Abstract

Hoffman, Alan J and Wu, Chai Wah

*American Mathematical Monthly**123*(*9*), 928--930, Mathematical Association of America, 2016Abstract

Sums of products of binomial coefficients mod 2 and run length transforms of sequences

Wu, Chai Wah

Abstract

Wu, Chai Wah

*arXiv preprint arXiv:1610.06166*, 2016Abstract

Counting the number of isosceles triangles in rectangular regular grids

Wu, Chai Wah

Abstract

Wu, Chai Wah

*arXiv preprint arXiv:1605.00180*, 2016Abstract

Graph comparison and synchronization in complex networks

Liu, Hui and Cao, Ming and Wu, Chai Wah

Liu, Hui and Cao, Ming and Wu, Chai Wah

*Oscillator Circuits: Frontiers in Design, Analysis and Applications**32*, 183, IET, 2016
Minimal number of points on a grid forming patterns of blocks

Wu, Chai Wah

Abstract

Wu, Chai Wah

*arXiv preprint arXiv:1608.07247*, 2016Abstract

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

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*, 2016Complete List of Publications

Simulating Heat and Mass Transfer with Limited Amount of Sensor Data

V. Lopez

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

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

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

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