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Jesse A. Livezey
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2020 – today
- 2022
- [c3]Jesse A. Livezey
, Ahyeon Hwang
Hangul Fonts Dataset: A Hierarchical and Compositional Dataset for Investigating Learned Representations. ICIAP (3) 2022: 3-14 - 2021
- [j5]Jesse A. Livezey, Joshua I. Glaser:
Deep learning approaches for neural decoding across architectures and recording modalities. Briefings Bioinform. 22(2): 1577-1591 (2021) - 2020
- [j4]Pratik S. Sachdeva, Jesse A. Livezey, Michael Robert DeWeese:
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise. Neural Comput. 32(7): 1239-1276 (2020) - [i7]Jesse A. Livezey, Joshua I. Glaser:
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI. CoRR abs/2005.09687 (2020)
2010 – 2019
- 2019
- [j3]Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer:
Learning Overcomplete, Low Coherence Dictionaries with Linear Inference. J. Mach. Learn. Res. 20: 174:1-174:42 (2019) - [j2]Pratik S. Sachdeva
PyUoI: The Union of Intersections Framework in Python. J. Open Source Softw. 4(44): 1799 (2019) - [j1]Jesse A. Livezey
Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. PLoS Comput. Biol. 15(9) (2019) - [c2]David G. Clark, Jesse Livezey, Kristofer E. Bouchard:
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. NeurIPS 2019: 14267-14278 - [i6]David G. Clark, Jesse A. Livezey
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. CoRR abs/1905.09944 (2019) - [i5]Jesse A. Livezey
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Interrogating Learned Representations. CoRR abs/1905.13308 (2019) - 2018
- [i4]Jesse A. Livezey
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex. CoRR abs/1803.09807 (2018) - [i3]David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard:
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. CoRR abs/1805.08889 (2018) - 2017
- [b1]Jesse Livezey:
Learning and Inferring Representations of Data in Neural Networks. University of California, Berkeley, USA, 2017 - 2016
- [i2]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:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i1]Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer:
On degeneracy control in overcomplete ICA. CoRR abs/1606.03474 (2016) - 2015
- [c1]Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen:
Discovering Hidden Factors of Variation in Deep Networks. ICLR (Workshop) 2015
Coauthor Index
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