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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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Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks

Dec 21, 2019
Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman


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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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Continual Learning with Self-Organizing Maps

Apr 19, 2019
Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu

* Continual Learning Workshop - NeurIPS 2018 

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Recurrent computations for visual pattern completion

Apr 06, 2018
Hanlin Tang, Martin Schrimpf, Bill Lotter, Charlotte Moerman, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman


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A Flexible Approach to Automated RNN Architecture Generation

Dec 20, 2017
Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher


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On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations

Mar 23, 2017
Nicholas Cheney, Martin Schrimpf, Gabriel Kreiman

* under review at ICML 2017 

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Should I use TensorFlow

Nov 27, 2016
Martin Schrimpf

* Seminar Paper 

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