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12 Results
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Poster
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Wed 18:30 |
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders Artur Speiser · Jinyao Yan · Evan Archer · Lars Buesing · Srinivas C Turaga · Jakob H Macke |
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Poster
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Mon 18:30 |
Gaussian process based nonlinear latent structure discovery in multivariate spike train data Anqi Wu · Nicholas Roy · Stephen Keeley · Jonathan Pillow |
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Poster
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Tue 18:30 |
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations Marcel Nonnenmacher · Srinivas C Turaga · Jakob H Macke |
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Poster
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Wed 18:30 |
Generating steganographic images via adversarial training Jamie Hayes · George Danezis |
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Poster
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Wed 18:30 |
Improved Training of Wasserstein GANs Ishaan Gulrajani · Faruk Ahmed · Martin Arjovsky · Vincent Dumoulin · Aaron Courville |
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Poster
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Mon 18:30 |
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems Ingmar Kanitscheider · Ila Fiete |
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Poster
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Tue 18:30 |
A-NICE-MC: Adversarial Training for MCMC Jiaming Song · Shengjia Zhao · Stefano Ermon |
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Poster
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Mon 18:30 |
Neural Variational Inference and Learning in Undirected Graphical Models Volodymyr Kuleshov · Stefano Ermon |
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Poster
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Mon 18:30 |
Stabilizing Training of Generative Adversarial Networks through Regularization Kevin Roth · Aurelien Lucchi · Sebastian Nowozin · Thomas Hofmann |
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Poster
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Mon 18:30 |
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal · Alessandro Sordoni · Marc-Alexandre Côté · Nan Rosemary Ke · Yoshua Bengio |
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Poster
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Mon 18:30 |
A Bayesian Data Augmentation Approach for Learning Deep Models Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid |
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Poster
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Wed 18:30 |
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium Martin Heusel · Hubert Ramsauer · Thomas Unterthiner · Bernhard Nessler · Sepp Hochreiter |