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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 |
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application Wenpin Tang · Xin Guo · Fengmin Tang |
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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 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 10:00 |
On the Theoretical Properties of the Network Jackknife Qiaohui Lin · Robert Lunde · Purnamrita Sarkar |
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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 10:00 |
Structured Prediction with Partial Labelling through the Infimum Loss Vivien Cabannnes · Alessandro Rudi · Francis Bach |
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Poster
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Tue 11:00 |
Consistent Structured Prediction with Max-Min Margin Markov Networks Alex Nowak · Francis Bach · Alessandro Rudi |
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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 12:00 |
Learning the piece-wise constant graph structure of a varying Ising model Batiste Le Bars · Pierre Humbert · Argyris Kalogeratos · Nicolas Vayatis |
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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 |
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Poster
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Tue 14:00 |
Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini · Sebastian Riedel · Pontus Stenetorp · Edward Grefenstette · Tim Rocktäschel |