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An adversarial algorithm for variational inference with a new role for acetylcholine

Jun 18, 2020
Ari S. Benjamin, Konrad P. Kording

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Spike-based causal inference for weight alignment

Oct 03, 2019
Jordan Guerguiev, Konrad P. Kording, Blake A. Richards

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Identifying Weights and Architectures of Unknown ReLU Networks

Oct 02, 2019
David Rolnick, Konrad P. Kording

* 15 pages, 4 figures 

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Movement science needs different pose tracking algorithms

Jul 24, 2019
Nidhi Seethapathi, Shaofei Wang, Rachit Saluja, Gunnar Blohm, Konrad P. Kording

* 13 pages, 2 figures, 1 table 

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What does it mean to understand a neural network?

Jul 15, 2019
Timothy P. Lillicrap, Konrad P. Kording

* 9 pages, 2 figures 

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Tackling Climate Change with Machine Learning

Jun 10, 2019
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio

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The Roles of Supervised Machine Learning in Systems Neuroscience

May 21, 2018
Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, Konrad P. Kording

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Machine learning for neural decoding

May 04, 2018
Joshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Kording

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Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization

Jun 21, 2015
Joshua I. Glaser, Bradley M. Zamft, George M. Church, Konrad P. Kording

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Self-Expressive Decompositions for Matrix Approximation and Clustering

May 04, 2015
Eva L. Dyer, Tom A. Goldstein, Raajen Patel, Konrad P. Kording, Richard G. Baraniuk

* 11 pages, 7 figures 

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