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Poster
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Tue 7:00 |
Improving the Gating Mechanism of Recurrent Neural Networks Albert Gu · Caglar Gulcehre · Thomas Paine · Matthew Hoffman · Razvan Pascanu |
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Poster
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Tue 7:00 |
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective Steven Cheng-Xian Li · Benjamin M Marlin |
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Poster
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Tue 8:00 |
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM Kunal Menda · Jean de Becdelievre · Jayesh K. Gupta · Ilan Kroo · Mykel Kochenderfer · Zachary Manchester |
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Poster
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Tue 8:00 |
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing Lakshay Chauhan · John Alberg · Zachary Lipton |
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Poster
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Tue 9:00 |
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates Xiaochen Wang · Arash Pakbin · Bobak Mortazavi · Hongyu Zhao · Donald Lee |
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Poster
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Tue 9:00 |
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods Wei Zhang · Thomas Panum · Somesh Jha · Prasad Chalasani · David Page |
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Poster
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Tue 9:00 |
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu · Gagandeep Singh · Pavol Bielik · Martin Vechev |
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Poster
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Tue 10:00 |
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan · David Sussillo |
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Poster
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Tue 10:00 |
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi · Samuel Stanton · Pavel Izmailov · Andrew Wilson |
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Poster
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Tue 10:00 |
Incremental Sampling Without Replacement for Sequence Models Kensen Shi · David Bieber · Charles Sutton |
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Poster
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Tue 12:00 |
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez · Jonathan Godwin · Tobias Pfaff · Rex (Zhitao) Ying · Jure Leskovec · Peter Battaglia |
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Poster
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Tue 13:00 |
Temporal Logic Point Processes Shuang Li · Lu Wang · Ruizhi Zhang · xiaofu Chang · Xuqin Liu · Yao Xie · Yuan Qi · Le Song |