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Reuben Feinman
Learning Task-General Representations with Generative Neuro-Symbolic Modeling

Jun 25, 2020
Reuben Feinman, Brenden M. Lake


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Generating new concepts with hybrid neuro-symbolic models

Mar 23, 2020
Reuben Feinman, Brenden M. Lake


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Robust Nonlinear Component Estimation with Tikhonov Regularization

Jul 18, 2019
Reuben Feinman, Nikhil Parthasarathy


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Learning a smooth kernel regularizer for convolutional neural networks

Mar 05, 2019
Reuben Feinman, Brenden M. Lake

* Submitted to CogSci 2019 
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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

* Technical report for https://github.com/tensorflow/cleverhans 
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Learning Inductive Biases with Simple Neural Networks

Jun 13, 2018
Reuben Feinman, Brenden M. Lake

* Feinman, R. and Lake, B.M. (2018). Learning inductive biases with simple neural networks. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society 
 * Published in Proceedings of the 40th Annual Meeting of the Cognitive Science Society, July 2018 
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Detecting Adversarial Samples from Artifacts

Nov 15, 2017
Reuben Feinman, Ryan R. Curtin, Saurabh Shintre, Andrew B. Gardner

* Submitted to ICML 2017 
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