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Understanding robustness and generalization of artificial neural networks through Fourier masks


Mar 16, 2022
Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi

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Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks


Feb 22, 2022
Zhe Li, Andreas S. Tolias, Xaq Pitkow

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Interpolating between sampling and variational inference with infinite stochastic mixtures


Oct 18, 2021
Richard D. Lange, Ari Benjamin, Ralf M. Haefner, Xaq Pitkow

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* 8 pages, 4 figures. Submitted to AISTATS 2022; under double-blind review. Code available at https://github.com/wrongu/sampling-variational 

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Two-argument activation functions learn soft XOR operations like cortical neurons


Oct 15, 2021
Kijung Yoon, Emin Orhan, Juhyun Kim, Xaq Pitkow

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Generalization of graph network inferences in higher-order probabilistic graphical models


Jul 12, 2021
Yicheng Fei, Xaq Pitkow

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* 9 pages, 2 figures 

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AvaTr: One-Shot Speaker Extraction with Transformers


May 03, 2021
Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias

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* 6 pages, 4 main figures, 2 supplemental figures 

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Flexible Few-Shot Learning with Contextual Similarity


Dec 10, 2020
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel

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* Technical report, 29 pages 

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Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics


Sep 26, 2020
Minhae Kwon, Saurabh Daptardar, Paul Schrater, Xaq Pitkow

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* NeurIPS2020 

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Learning From Brains How to Regularize Machines


Nov 11, 2019
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias

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* 14 pages, 7 figures, NeurIPS 2019 

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