Jesse A. Livezey

According to our database, Jesse A. Livezey authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Hangul Fonts Dataset: A Hierarchical and Compositional Dataset for Investigating Learned Representations.

Jesse A. Livezey, Ahyeon Hwang, Jacob Yeung, Kristofer E. Bouchard

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021

Deep learning approaches for neural decoding across architectures and recording modalities.

Jesse A. Livezey, Joshua I. Glaser

Briefings Bioinform., 2021

2020

Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise.

Pratik S. Sachdeva, Jesse A. Livezey, Michael Robert DeWeese

Neural Comput., 2020

Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI.

Jesse A. Livezey, Joshua I. Glaser

CoRR, 2020

2019

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

Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang

PLoS Comput. Biol., 2019

PyUoI: The Union of Intersections Framework in Python.

Pratik S. Sachdeva, Jesse Livezey, Andrew J. Tritt, Kristofer E. Bouchard

J. Open Source Softw., 2019

Learning Overcomplete, Low Coherence Dictionaries with Linear Inference.

Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer

J. Mach. Learn. Res., 2019

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

Jesse A. Livezey, Ahyeon Hwang, Kristofer E. Bouchard

CoRR, 2019

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

David G. Clark, Jesse Livezey, Kristofer E. Bouchard

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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

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

CoRR, 2018

2017

Learning and Inferring Representations of Data in Neural Networks.

Jesse Livezey

PhD thesis, 2017

2016

On degeneracy control in overcomplete ICA.

Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer

CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, 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 F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, 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 Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph 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 P. 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

CoRR, 2016

2015

Discovering Hidden Factors of Variation in Deep Networks.

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

Proceedings of the 3rd International Conference on Learning Representations, 2015