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464 Results
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Poster
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Tue 14:00 |
Deep Hierarchical Planning from Pixels Danijar Hafner · Kuang-Huei Lee · Ian Fischer · Pieter Abbeel |
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Poster
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Tue 14:00 |
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification Aakash Kaku · Kangning Liu · Avinash Parnandi · Haresh Rengaraj Rajamohan · Kannan Venkataramanan · Anita Venkatesan · Audre Wirtanen · Natasha Pandit · Heidi Schambra · Carlos Fernandez-Granda |
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Poster
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Wed 14:00 |
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari |
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Poster
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Tue 9:00 |
Improving Intrinsic Exploration with Language Abstractions Jesse Mu · Victor Zhong · Roberta Raileanu · Minqi Jiang · Noah Goodman · Tim Rocktäschel · Edward Grefenstette |
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Poster
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Thu 9:00 |
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar Kobler · Jun-ichiro Hirayama · Qibin Zhao · Motoaki Kawanabe |
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Poster
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Tue 9:00 |
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures Emmanuel Abbe · Samy Bengio · Elisabetta Cornacchia · Jon Kleinberg · Aryo Lotfi · Maithra Raghu · Chiyuan Zhang |
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Poster
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Thu 14:00 |
BYOL-Explore: Exploration by Bootstrapped Prediction Zhaohan Guo · Shantanu Thakoor · Miruna Pislar · Bernardo Avila Pires · Florent Altché · Corentin Tallec · Alaa Saade · Daniele Calandriello · Jean-Bastien Grill · Yunhao Tang · Michal Valko · Remi Munos · Mohammad Gheshlaghi Azar · Bilal Piot |
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Workshop
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Robust task-specific adaption of models for drug-target interaction prediction Emma Svensson · Pieter-Jan Hoedt · Sepp Hochreiter · Günter Klambauer |
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Poster
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Tue 9:00 |
A Unified Framework for Deep Symbolic Regression Mikel Landajuela · Chak Shing Lee · Jiachen Yang · Ruben Glatt · Claudio P Santiago · Ignacio Aravena · Terrell Mundhenk · Garrett Mulcahy · Brenden K Petersen |
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Workshop
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Fri 16:11 |
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath |
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Workshop
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DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath |
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Poster
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Tue 9:00 |
Deep Generalized Schrödinger Bridge Guan-Horng Liu · Tianrong Chen · Oswin So · Evangelos Theodorou |