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Poster
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Thu 9:00 |
Physics-Informed Implicit Representations of Equilibrium Network Flows Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo |
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Poster
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Thu 14:00 |
Generic bounds on the approximation error for physics-informed (and) operator learning Tim De Ryck · Siddhartha Mishra |
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Poster
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Wed 14:00 |
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations Xiang Huang · Zhanhong Ye · Hongsheng Liu · Shi Ji · Zidong Wang · Kang Yang · Yang Li · Min Wang · Haotian CHU · Fan Yu · Bei Hua · Lei Chen · Bin Dong |
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Poster
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Tue 14:00 |
Submodular Maximization in Clean Linear Time Wenxin Li · Moran Feldman · Ehsan Kazemi · Amin Karbasi |
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Poster
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Tue 14:00 |
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits Yifei Wang · Tavor Baharav · Yanjun Han · Jiantao Jiao · David Tse |
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Poster
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Tue 9:00 |
Regret Bounds for Information-Directed Reinforcement Learning Botao Hao · Tor Lattimore |
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Poster
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Tue 9:00 |
FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision Alix Leroy · Graham Taylor |
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Poster
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Thu 9:00 |
Joint Entropy Search For Maximally-Informed Bayesian Optimization Carl Hvarfner · Frank Hutter · Luigi Nardi |
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Poster
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Tue 9:00 |
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations Ramansh Sharma · Varun Shankar |
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Poster
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Wed 14:00 |
An Information-Theoretic Framework for Deep Learning Hong Jun Jeon · Benjamin Van Roy |
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Poster
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Tue 14:00 |
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems Abishek Thangamuthu · Gunjan Kumar · Suresh Bishnoi · Ravinder Bhattoo · N M Anoop Krishnan · Sayan Ranu |
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Poster
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Thu 9:00 |
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation Hengguan Huang · Xiangming Gu · Hao Wang · Chang Xiao · Hongfu Liu · Ye Wang |