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Oral Session
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Tue 6:00 |
Deep Learning (Bayesian) |
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Spotlight
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Wed 18:20 |
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning Ashok Vardhan Makkuva · Xiyang Liu · Mohammad Vahid Jamali · Hessam Mahdavifar · Sewoong Oh · Pramod Viswanath |
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Poster
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Wed 21:00 |
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning Ashok Vardhan Makkuva · Xiyang Liu · Mohammad Vahid Jamali · Hessam Mahdavifar · Sewoong Oh · Pramod Viswanath |
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Spotlight
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Tue 6:25 |
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation Aurick Zhou · Sergey Levine |
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Poster
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Tue 9:00 |
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation Aurick Zhou · Sergey Levine |
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Poster
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Tue 9:00 |
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson |
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Oral
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Tue 6:00 |
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson |
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Spotlight
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Tue 6:30 |
Deep kernel processes Laurence Aitchison · Adam Yang · Sebastian Ober |
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Poster
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Tue 9:00 |
Deep kernel processes Laurence Aitchison · Adam Yang · Sebastian Ober |
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Spotlight
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Tue 7:35 |
Graph Mixture Density Networks Federico Errica · Davide Bacciu · Alessio Micheli |
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Poster
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Tue 9:00 |
Graph Mixture Density Networks Federico Errica · Davide Bacciu · Alessio Micheli |
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Poster
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Tue 9:00 |
Better Training using Weight-Constrained Stochastic Dynamics Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey |