Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI

May 19, 2020
Jesse A. Livezey, Joshua I. Glaser

* 22 pages, 3 figures 

  Access Paper or Ask Questions

Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis

May 23, 2019
David G. Clark, Jesse A. Livezey, Kristofer E. Bouchard

* 15 pages, 4 figures 

  Access Paper or Ask Questions

Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Interrogating Learned Representations

May 23, 2019
Jesse A. Livezey, Ahyeon Hwang, Kristofer E. Bouchard


  Access Paper or Ask Questions

Learning overcomplete, low coherence dictionaries with linear inference

Oct 16, 2018
Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer

* 27 pages, 11 figures 

  Access Paper or Ask Questions

Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces

Jun 05, 2018
David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard

* 23 pages, 8 figures; added reference, removed typo in Fig. 2 

  Access Paper or Ask Questions

Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex

Mar 26, 2018
Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang

* 23 pages, 9 figures 

  Access Paper or Ask Questions

Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

  Access Paper or Ask Questions

Discovering Hidden Factors of Variation in Deep Networks

Jun 17, 2015
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen

* Presented at International Conference on Learning Representations 2015 Workshop 

  Access Paper or Ask Questions