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26 Results
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Poster
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Mon 1:00 |
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering Calypso Herrera · Florian Krach · Josef Teichmann |
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Poster
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Tue 1:00 |
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? Balázs Kégl · Gabriel Hurtado · Albert Thomas |
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Workshop
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Fri 7:42 |
Contributed Talk: Synthetic Data for Model selection Nadav Bhonker · Alon Shoshan |
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Poster
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Mon 9:00 |
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla · Benjamin M Marlin |
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Workshop
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Fri 9:56 |
Tabular Data Modeling via Contextual Embeddings Xin Huang |
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Poster
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Thu 17:00 |
Nonseparable Symplectic Neural Networks Shiying Xiong · Yunjin Tong · Xingzhe He · Shuqi Yang · Cheng Yang · Bo Zhu |
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Poster
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Wed 9:00 |
Probabilistic Numeric Convolutional Neural Networks Marc Finzi · Roberto Bondesan · Max Welling |
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Poster
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Mon 9:00 |
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson · Risto Miikkulainen |
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Spotlight
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Mon 21:46 |
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson · Risto Miikkulainen |
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Workshop
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Fri 12:58 |
CIGMO: Learning categorical invariant deep generative models from grouped data Haruo Hosoya |
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Poster
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Wed 1:00 |
Negative Data Augmentation Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon |
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Poster
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Mon 1:00 |
Spatially Structured Recurrent Modules Nasim Rahaman · Anirudh Goyal · Muhammad Waleed Gondal · Manuel Wuthrich · Stefan Bauer · Yash Sharma · Yoshua Bengio · Bernhard Schoelkopf |