David Cox
David Cox
VP, AI Models; IBM Director, MIT-IBM Watson AI Lab, IBM Research
Verified email at
Cited by
Cited by
Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures
J Bergstra, D Yamins, D Cox
International conference on machine learning, 115-123, 2013
fMRI "Brain Reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex
DD Cox, RL Savoy
Neuroimage 19 (2), 261-270, 2003
Visual place recognition: A survey
S Lowry, N Sünderhauf, P Newman, JJ Leonard, D Cox, P Corke, ...
ieee transactions on robotics 32 (1), 1-19, 2015
Deep predictive coding networks for video prediction and unsupervised learning
W Lotter, G Kreiman, D Cox
International Conference of Learning Representations (ICLR), 2017
Untangling invariant object recognition
JJ DiCarlo, DD Cox
Trends in cognitive sciences 11 (8), 333-341, 2007
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms.
J Bergstra, D Yamins, DD Cox
SciPy 13, 20, 2013
Hyperopt: a python library for model selection and hyperparameter optimization
J Bergstra, B Komer, C Eliasmith, D Yamins, DD Cox
Computational Science & Discovery 8 (1), 014008, 2015
Why is real-world visual object recognition hard?
N Pinto, DD Cox, JJ DiCarlo
PLoS computational biology 4 (1), e27, 2008
On the information bottleneck theory of deep learning
AM Saxe, Y Bansal, J Dapello, M Advani, A Kolchinsky, BD Tracey, ...
Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124020, 2019
Large-scale optimization of hierarchical features for saliency prediction in natural images
E Vig, M Dorr, D Cox
Proceedings of the IEEE conference on computer vision and pattern …, 2014
A high-throughput screening approach to discovering good forms of biologically inspired visual representation
N Pinto, D Doukhan, JJ DiCarlo, DD Cox
PLoS computational biology 5 (11), e1000579, 2009
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
Chemosensory cues to conspecific emotional stress activate amygdala in humans
LR Mujica-Parodi, HH Strey, B Frederick, R Savoy, D Cox, Y Botanov, ...
PloS one 4 (7), e6415, 2009
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
D Cox, N Pinto
2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011
Threedworld: A platform for interactive multi-modal physical simulation
C Gan, J Schwartz, S Alter, D Mrowca, M Schrimpf, J Traer, J De Freitas, ...
arXiv preprint arXiv:2007.04954, 2020
How far can you get with a modern face recognition test set using only simple features?
N Pinto, JJ DiCarlo, DD Cox
2009 IEEE conference on computer vision and pattern recognition, 2591-2598, 2009
Multiple object response normalization in monkey inferotemporal cortex
D Zoccolan, DD Cox, JJ DiCarlo
Journal of Neuroscience 25 (36), 8150-8164, 2005
Neural networks and neuroscience-inspired computer vision
DD Cox, T Dean
Current Biology 24 (18), R921-R929, 2014
Recurrent computations for visual pattern completion
H Tang, M Schrimpf, W Lotter, C Moerman, A Paredes, J Ortega Caro, ...
Proceedings of the National Academy of Sciences 115 (35), 8835-8840, 2018
A multi-scale CNN and curriculum learning strategy for mammogram classification
W Lotter, G Sorensen, D Cox
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
The system can't perform the operation now. Try again later.
Articles 1–20