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Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion


Jul 19, 2021
Daniel Kunin, Javier Sagastuy-Brena, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins

* 30 pages, 8 figures 

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Physion: Evaluating Physical Prediction from Vision in Humans and Machines


Jun 17, 2021
Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan

* 27 pages 

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The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI


Mar 25, 2021
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J DiCarlo, Josh McDermott, Antonio Torralba, Joshua B. Tenenbaum

* Project page: http://tdw-transport.csail.mit.edu/ 

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Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics


Dec 08, 2020
Daniel Kunin, Javier Sagastuy-Brena, Surya Ganguli, Daniel L. K. Yamins, Hidenori Tanaka

* 28 pages, 17 figures 

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Identifying Learning Rules From Neural Network Observables


Oct 22, 2020
Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins

* NeurIPS 2020 Camera Ready Version, 21 pages including supplementary information, 13 figures 

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ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation


Jul 09, 2020
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, James J. DiCarlo, Josh McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins

* Project page: http://www.threedworld.org 

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Learning Physical Graph Representations from Visual Scenes


Jun 24, 2020
Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins

* 23 pages; corrected affiliations and acknowledgments 

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Pruning neural networks without any data by iteratively conserving synaptic flow


Jun 09, 2020
Hidenori Tanaka, Daniel Kunin, Daniel L. K. Yamins, Surya Ganguli


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Visual Grounding of Learned Physical Models


Apr 28, 2020
Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba

* The second and the third authors contributed equally to this paper, and are listed in alphabetical order. Project Page: http://visual-physics-grounding.csail.mit.edu/ 

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Two Routes to Scalable Credit Assignment without Weight Symmetry


Feb 28, 2020
Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brena, Surya Ganguli, Jon Bloom, Daniel L. K. Yamins

* 19 pages including supplementary information, 10 figures 

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Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs


Oct 28, 2019
Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo

* NeurIPS 2019 (Oral). Code available at https://github.com/dicarlolab/neurips2019 

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Learning to Play with Intrinsically-Motivated Self-Aware Agents


Oct 30, 2018
Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

* In NIPS 2018. 10 pages, 5 figures 

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Flexible Neural Representation for Physics Prediction


Oct 27, 2018
Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins

* 23 pages, 20 figures 

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Task-Driven Convolutional Recurrent Models of the Visual System


Oct 27, 2018
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins

* NIPS 2018 Camera Ready Version, 16 pages including supplementary information, 6 figures 

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Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation


Feb 21, 2018
Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins

* 6 pages, 5 figures 

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Modular Continual Learning in a Unified Visual Environment


Dec 12, 2017
Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins


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A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment


Jun 22, 2017
Kevin T. Feigelis, Daniel L. K. Yamins


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Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition


Jun 12, 2014
Charles F. Cadieu, Ha Hong, Daniel L. K. Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo

* 35 pages, 12 figures, extends and expands upon arXiv:1301.3530 

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