David Cox  David Cox photo         

contact information

Director, MIT-IBM Watson AI Lab, IBM Research AI
Cambridge Research Center, Cambridge, MA USA
  

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Professional Associations

Professional Associations:  ACM  |  IEEE


2018

Wide Area Profiling of Neuronal Function Using Hadamard Microscopy
Vicente J Parot, Samouil L Farhi, Abhinav Grama, Masahito Yamagata, Ahmed Abdelfattah, Yoav Adam, Shan Lou, Jeong J Kim, Robert E Campbell, David D Cox, others
Optics and the Brain, pp. BW2C--3, 2018

Minnorm training: an algorithm for training overcomplete deep neural networks
Yamini Bansal, Madhu Advani, David D Cox, Andrew M Saxe
arXiv preprint arXiv:1806.00730, 2018

Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Eric Wu, Kevin Wu, David Cox, William Lotter
arXiv preprint arXiv:1807.08093, 2018

Recurrent computations for visual pattern completion
Hanlin Tang, Martin Schrimpf, William Lotter, Charlotte Moerman, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman
Proceedings of the National Academy of Sciences, 201719397, National Academy of Sciences, 2018


A micro-CT-based method for quantitative brain lesion characterization and electrode localization
Javier Masis, David Mankus, Steffen BE Wolff, Grigori Guitchounts, Maximilian Joesch, David D Cox
Scientific reports 8(1), 5184, Nature Publishing Group, 2018

Using human brain activity to guide machine learning
Ruth C Fong, Walter J Scheirer, David D Cox
Scientific reports 8(1), 5397, Nature Publishing Group, 2018

High-speed volumetric imaging of neuronal activity in freely moving rodents
Oliver Skocek, Tobias Nobauer, Lukas Weilguny, Francisca Martinez Traub, Chuying Naomi Xia, Maxim I Molodtsov, Abhinav Grama, Masahito Yamagata, Daniel Aharoni, David D Cox, Peyman Golshani, and Alipasha Vaziri
Nature methods, 1, Nature Publishing Group, 2018

On the Information Bottleneck Theory of Deep Learning
Andrew Michael Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan Daniel Tracey, David Daniel Cox
International Conference on Learning Representations (ICLR), 2018


2017

Input-aware auto-tuning of compute-bound HPC kernels
Philippe Tillet, David Cox
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 43, 2017

Hands-on engagement online: using a randomised control trial to estimate the impact of an at-home lab kit on student attitudes and achievement in a MOOC
Jennifer DeBoer, Casey Haney, S Zahra Atiq, Casey Smith, David Cox
European Journal of Engineering Education, 1-19, Taylor & Francis, 2017

Task dependent modulation before, during and after visually evoked responses in human intracranial recordings
Leyla Isik, William Lotter, Nathan Crone, David Cox, Nancy Kanwisher, Wiliam Andreson, Gabriel Kreiman
Journal of Vision 17(10), 983-983, The Association for Research in Vision and Ophthalmology, 2017

A multi-scale cnn and curriculum learning strategy for mammogram classification
William Lotter, Greg Sorensen, David Cox
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp. 169--177, Springer, Cham, 2017

Recurrent computations for visual pattern completion
Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman
arXiv preprint arXiv:1706.02240, 2017

Understanding lived experiences of students in a blended-learning neuroscience MOOC
Casey Haney, Jawaria Qureshey, S Zahra Atiq, David Cox, Jennifer DeBoer
2017

Deep predictive coding networks for video prediction and unsupervised learning
William Lotter, Gabriel Kreiman, David Cox
International Conference on Learning Representations (ICLR), 2017


2016

Imaging a cubic millimeter volume of rat cortex using a MultiBeam SEM
R Schalek, D Lee, N Kasthuri, A Peleg, T Jones, V Kaynig, D Haehn, H Pfister, D Cox, JW Lichtman
Microscopy and Microanalysis22, 582, Cambridge University Press, 2016

Understanding Student Experiences in a Blended-Learning MOOC: A Phenomenographic Study
Ms S Zahra Atiq, CL Haney, Jennifer DeBoer, David Cox
ASEE Annual Conference & Exposition, New Orleans, June, pp. 26--29, 2016

Tensor switching networks
Chuan-Yung Tsai, Andrew M Saxe, David Cox
Advances in Neural Information Processing Systems (NIPS), pp. 2038--2046, 2016

Visual place recognition: A survey
Stephanie Lowry, Niko Sunderhauf, Paul Newman, John J Leonard, David Cox, Peter Corke, Michael J Milford
IEEE Transactions on Robotics 32(1), 1--19, IEEE, 2016


2015

International STEM Classrooms: The Experiences of Students Around the World Using Physical Remote Laboratory Kits
S Zahra Atiq, Xin Chen, David Daniel Cox, Jennifer DeBoer
2015 ASEE International Forum, pp. 1--19

Unsupervised learning of visual structure using predictive generative networks
William Lotter, Gabriel Kreiman, David Cox
International Conference on Learning Representations (ICLR), 2015

Improving Optimum-Path Forest Classification Using Confidence Measures
Silas EN Fernandes, Walter Scheirer, David D Cox, Jo\~ao Paulo Papa
Iberoamerican Congress on Pattern Recognition, pp. 619--625, 2015

Fine-tuning convolutional neural networks using harmony search
Gustavo Rosa, Jo\~ao Papa, Aparecido Marana, Walter Scheirer, David Cox
Iberoamerican Congress on Pattern Recognition, pp. 683--690, 2015

What can simple brains teach us about how vision works
Davide Zoccolan, David D Cox, Andrea Benucci
Frontiers in neural circuits9, 51, Frontiers, 2015

Hyperopt: a python library for model selection and hyperparameter optimization
James Bergstra, Brent Komer, Chris Eliasmith, Dan Yamins, David D Cox
Computational Science \& Discovery 8(1), 014008, IOP Publishing, 2015

On the model selection of bernoulli restricted boltzmann machines through harmony search
Joao Papa Papa, Gustavo Henrique Rosa, Kelton A Costa, Nilceu A Marana, Walter Scheirer, David Daniel Cox
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pp. 1449--1450

Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques
Joao P Papa, Gustavo H Rosa, Aparecido N Marana, Walter Scheirer, David D Cox
Journal of computational science9, 14--18, Elsevier, 2015

Measuring and understanding sensory representations within deep networks using a numerical optimization framework
Chuan-Yung Tsai, David D Cox
arXiv preprint arXiv:1502.04972, 2015

SkData: data sets and algorithm evaluation protocols in Python
James Bergstra, Nicolas Pinto, David D Cox
Computational Science \& Discovery 8(1), 014007, IOP Publishing, 2015


2014

Neural networks and neuroscience-inspired computer vision
David Daniel Cox, Thomas Dean
Current Biology 24(18), R921--R929, Cell Press, 2014

Learning person-specific representations from faces in the wild
Giovani Chiachia, Alexandre X Falcao, Nicolas Pinto, Anderson Rocha, David Cox
IEEE Transactions on Information Forensics and Security 9(12), 2089--2099, IEEE, 2014

Vision-based simultaneous localization and mapping in changing outdoor environments
Michael Milford, Eleonora Vig, Walter Scheirer, David Cox
Journal of Field Robotics 31(5), 780--802, 2014

Large-scale optimization of hierarchical features for saliency prediction in natural images
Eleonora Vig, Michael Dorr, David Cox
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2798--2805, 2014

Do we understand high-level vision?
David Daniel Cox
Current opinion in neurobiology25, 187--193, Elsevier Current Trends, 2014

Condition-invariant, top-down visual place recognition
Michael Milford, Walter Scheirer, Eleonora Vig, Arren Glover, Oliver Baumann, Jason Mattingley, David Cox
Robotics and Automation (ICRA), 2014 IEEE International Conference on, pp. 5571--5577

Perceptual annotation: Measuring human vision to improve computer vision
Walter J Scheirer, Samuel E Anthony, Ken Nakayama, David D Cox
IEEE transactions on pattern analysis and machine intelligence 36(8), 1679--1686, IEEE, 2014


2013

Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures
James Bergstra, Daniel Yamins, David Daniel Cox
JMLR, 2013

Towards condition-invariant, top-down visual place recognition
Michael Milford, Eleonora Vig, Walter Scheirer, David Cox
Australasian Conference on Robotics and Automation, pp. 1--10, 2013

Rats maintain a binocular field centered on the horizon
Markus Meister, David Cox
F1000Research2, Faculty of 1000 Ltd, 2013

Hyperopt: A python library for optimizing the hyperparameters of machine learning algorithms
James Bergstra, Dan Yamins, David D Cox
Proceedings of the 12th Python in Science Conference, pp. 13--20, 2013

Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a" Null" Model be?
James Bergstra, David D Cox
arXiv preprint arXiv:1306.3476, 2013

The 2013 face recognition evaluation in mobile environment
Manuel G\"unther, Artur Costa-Pazo, Changxing Ding, Elhocine Boutellaa, Giovani Chiachia, Honglei Zhang, Marcus de Assis Angeloni, V \v{S}truc, Elie Khoury, Esteban Vazquez-Fernandez, others
Biometrics (ICB), 2013 International Conference on, pp. 1--7


2012

Space-variant descriptor sampling for action recognition based on saliency and eye movements
Eleonora Vig, Michael Dorr, David Cox
European conference on computer vision, pp. 84--97, 2012

Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification.
Giovani Chiachia, Nicolas Pinto, William Robson Schwartz, Anderson Rocha, Alexandre X Falc\~ao, David D Cox
BMVC, pp. 1--12, 2012

Saliency-based selection of sparse descriptors for action recognition
Eleonora Vig, Michael Dorr, David D Cox
Image Processing (ICIP), 2012 19th IEEE International Conference on, pp. 1405--1408

Machine learning for predictive auto-tuning with boosted regression trees
James Bergstra, Nicolas Pinto, David Cox
Innovative Parallel Computing (InPar), 2012, pp. 1--9

High-throughput-derived biologically-inspired features for unconstrained face recognition
Nicolas Pinto, David D Cox
Image and Vision Computing 30(3), 159--168, Elsevier, 2012

Implementation of a Peltier-based cooling device for localized deep cortical deactivation during in vivo object recognition testing
Kyle Marra, Brett Graham, Samantha Carouso, David Cox
APS Meeting Abstracts, 2012


2011

Beyond simple features: A large-scale feature search approach to unconstrained face recognition
David Cox, Nicolas Pinto
Automatic Face \& Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on, pp. 8--15

Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook
Nicolas Pinto, Zak Stone, Todd Zickler, David Cox
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on, pp. 35--42

Comparing state-of-the-art visual features on invariant object recognition tasks
Nicolas Pinto, Youssef Barhomi, David D Cox, James J DiCarlo
Applications of computer vision (WACV), 2011 IEEE workshop on, pp. 463--470

GPU metaprogramming: A case study in biologically inspired machine vision
Nicolas Pinto, David D Cox
GPU Computing Gems Jade Edition, pp. 457--471, 2011


2010

Design-space exploration of biologically-inspired visual object recognition algorithms using CPUs, GPUs, and FPGAs
Vinay Sriram, K Tsoi, Wayne Luk, DD Cox
Many-core and reconfigurable supercomputing, 2010

Towards an embedded biologically-inspired machine vision processor
Vinay Sriram, David Cox, Kuen Hung Tsoi, Wayne Luk
Field-Programmable Technology (FPT), 2010 International Conference on, pp. 273--278

A self-calibrating, camera-based eye tracker for the recording of rodent eye movements
Davide Zoccolan, Brett J Graham, David D Cox
Frontiers in neuroscience4, 193, Frontiers, 2010

An evaluation of the invariance properties of a biologically-inspired system for unconstrained face recognition
Nicolas Pinto, David Cox
International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, pp. 505--518, 2010


2009

A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual
N Pinto, D Doukhan, JJ DiCarlo, DD Cox
2009

A rodent model for the study of invariant visual object recognition
Davide Zoccolan, Nadja Oertelt, James J DiCarlo, David D Cox
Proceedings of the National Academy of Sciences 106(21), 8748--8753, National Acad Sciences, 2009

What response properties do individual neurons need to underlie position and clutter “invariant” object recognition?
Nuo Li, David D Cox, Davide Zoccolan, James J DiCarlo
Journal of Neurophysiology 102(1), 360--376, American Physiological Society, 2009

Chemosensory cues to conspecific emotional stress activate amygdala in humans
Lilianne R Mujica-Parodi, Helmut H Strey, Blaise Frederick, Robert Savoy, David Cox, Yevgeny Botanov, Denis Tolkunov, Denis Rubin, Jochen Weber
PloS one 4(7), e6415, Public Library of Science, 2009

A high-throughput screening approach to discovering good forms of biologically inspired visual representation
Nicolas Pinto, David Doukhan, James J DiCarlo, David D Cox
PLoS computational biology 5(11), e1000579, Public Library of Science, 2009

How far can you get with a modern face recognition test set using only simple features?
Nicolas Pinto, James J DiCarlo, David D Cox
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pp. 2591--2598


2008

Why is Real-World Visual Object Recognition Hard?
James J DiCarlo, Nicolas Pinto, David Daniel Cox
Public Library of Science, 2008

Why is real-world object recognition hard? Establishing honest benchmarks and baselines for object recognition
Nicolas Pinto, David D Cox, Benoit Corda, David Doukhan, James J DiCarlo
Proceedings of the COSYNE8, 2008

A high-throughput screening approach to discovering good forms of visual representation
David D Cox, Nicolas Pinto, David Doukhan, Benoit Corda, James J DiCarlo
Computational and Systems Neuroscience (COSYNE), 2008

High-resolution three-dimensional microelectrode brain mapping using stereo microfocal X-ray imaging
David D Cox, Alexander M Papanastassiou, Daniel Oreper, Benjamin B Andken, James J DiCarlo
Journal of neurophysiology 100(5), 2966--2976, American Physiological Society, 2008

Second-hand stress: neurobiological evidence for a human alarm pheromone
Lilianne R Mujica-Parodi, Helmut H Strey, Blaise Frederick, Robert Savoy, David D Cox, Yevgeny Botanov, Denis Tolkunov, Denis Rubin, Jochen Weber
Nature Publishing Group, 2008

Does learned shape selectivity in inferior temporal cortex automatically generalize across retinal position?
David D Cox, James J DiCarlo
Journal of Neuroscience 28(40), 10045--10055, Society for Neuroscience, 2008

Establishing good benchmarks and baselines for face recognition
Nicolas Pinto, James J DiCarlo, David D Cox
Workshop on Faces In'Real-Life'Images: Detection, Alignment, and Recognition, 2008

Why is real-world visual object recognition hard?
Nicolas Pinto, David D Cox, James J DiCarlo
PLoS computational biology 4(1), e27, Public Library of Science, 2008


2007

Reverse engineering object recognition
David Daniel Cox
Ph.D. Thesis, 2007

The effect of real-world personal familiarity on the speed of face information processing
Benjamin Balas, David Cox, Erin Conwell
PloS one 2(11), e1223, Public Library of Science, 2007

Untangling invariant object recognition
James J DiCarlo, David D Cox
Trends in cognitive sciences 11(8), 333--341, Elsevier Current Trends, 2007


2006

The effect of personal familiarity on the speed of face recognition
Benjamin Balas, Erin Conwell, David Cox
Proceedings of the Annual Meeting of the Cognitive Science Society, 2006


2005

'Breaking'position-invariant object recognition
David D Cox, Philip Meier, Nadja Oertelt, James J DiCarlo
Nature neuroscience 8(9), 1145, Nature Publishing Group, 2005

Multiple object response normalization in monkey inferotemporal cortex
Davide Zoccolan, David D Cox, James J DiCarlo
Journal of Neuroscience 25(36), 8150--8164, Society for Neuroscience, 2005


2004

Contextually evoked object-specific responses in human visual cortex
David Cox, Ethan Meyers, Pawan Sinha
Science 304(5667), 115--117, American Association for the Advancement of Science, 2004


2003

Neural responses to contextually defined faces
Ethan Meyers, David D Cox, Pawan Sinha
Journal of Vision 3(9), 101--101, The Association for Research in Vision and Ophthalmology, 2003

fMRI "Brain Reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex
David D Cox, Robert L Savoy
Neuroimage 19(2), 261--270, Academic Press, 2003