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46 Results
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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions Mihai Nica · Janosch Ortmann |
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Poster
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Fri 11:00 |
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos · Giorgos Bouritsas · Yannis Panagakis |
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Poster
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Long-range Meta-path Search on Large-scale Heterogeneous Graphs Chao Li · Zijie Guo · qiuting he · Kun He |
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Workshop
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Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network Yuxuan Gu · Catherine Spurin · Gege Wen |
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Poster
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Thu 11:00 |
Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes Qi Ma · Danda Pani Paudel · Ender Konukoglu · Luc V Gool |
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Workshop
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Scale-consistent learning with neural operators Zongyi Li · Samuel Lanthaler · Catherine Deng · Yixuan Wang · Kamyar Azizzadenesheli · Animashree Anandkumar |
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Workshop
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Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale Pol Timmer · Koen Minartz · Vlado Menkovski |
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Poster
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Thu 11:00 |
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin · Andreas Fürst · Simon Schmid · Lukas Gruber · Markus Holzleitner · Johannes Brandstetter |
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Poster
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Thu 16:30 |
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems Zhi Zheng · Changliang Zhou · Tong Xialiang · Mingxuan Yuan · Zhenkun Wang |
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Workshop
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Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks Shikai Qiu · Atish Agarwala · Lechao Xiao · Jeffrey Pennington |
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Poster
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Wed 11:00 |
Scaling Law for Time Series Forecasting Jingzhe Shi · Qinwei Ma · Huan Ma · Lei Li |
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Poster
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Fri 11:00 |
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision Yulia Rubanova · Tatiana Lopez-Guevara · Kelsey Allen · Will Whitney · Kimberly Stachenfeld · Tobias Pfaff |