Sotabase

Career

· Associate Professor of Psychology and Computer Science, Stanford University2016–
· Postdoctoral Researcher, Massachusetts Institute of Technology (MIT)2011–2016
· PhD Student, Harvard University2003–2008
· BA in Mathematics, Harvard University
· Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI), Stanford University
· Faculty Scholar, Wu Tsai Neurosciences Institute, Stanford University
· Member, Bio-X, Stanford University

Publications (86)

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
International Conference on Machine Learning · 2013
2,455
cited
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Proceedings of the National Academy of Sciences of the United States of America · 2014
2,107
cited
Using goal-driven deep learning models to understand sensory cortex
Nature Neuroscience · 2016
1,646
cited
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
PLoS Comput. Biol. · 2014
818
cited
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms
SciPy · 2013
790
cited
Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?
bioRxiv · 2018
645
cited
A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy
Neuron · 2018
534
cited
Local Aggregation for Unsupervised Learning of Visual Embeddings
IEEE International Conference on Computer Vision · 2019
462
cited
Flexible Neural Representation for Physics Prediction
Neural Information Processing Systems · 2018
258
cited
CORnet: Modeling the Neural Mechanisms of Core Object Recognition
bioRxiv · 2018
194
cited
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
Neural Information Processing Systems · 2013
168
cited
Task-Driven Convolutional Recurrent Models of the Visual System
Neural Information Processing Systems · 2018
163
cited
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Neural Information Processing Systems · 2018
122
cited
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
NeurIPS Datasets and Benchmarks · 2021
121
cited
Dynamic Task Assignment in Robot Swarms
Robotics: Science and Systems · 2005
105
cited
Making a Science of Model Search
arXiv.org · 2012
96
cited
Direct lung delivery of para-aminosalicylic acid by aerosol particles.
Tuberculosis · 2003
73
cited
Unsupervised Learning From Video With Deep Neural Embeddings
Computer Vision and Pattern Recognition · 2019
63
cited
Automated global-to-local programming in 1-D spatial multi-agent systems
Adaptive Agents and Multi-Agent Systems · 2008
46
cited
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
bioRxiv · 2021
40
cited
Sotabase
Dan Yamins | Researcher Profile | Sotabase | Sotabase