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9 Results
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Poster
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Mon 17:00 |
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang · Robin Walters · Rose Yu |
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Poster
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Mon 1:00 |
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume |
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Workshop
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Fri 14:02 |
Invited Talk: A deep learning theory for neural networks grounded in physics Benjamin Scellier |
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Workshop
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Fri 9:05 |
Assessing Physics Informed Neural Networks in Ocean Modelling and Climate Change Applications Taco de Wolff · Hugo Carrillo Lincopi · Luis Martí · Nayat Sánchez-Pi |
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Poster
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Mon 17:00 |
On the geometry of generalization and memorization in deep neural networks Cory Stephenson · Suchismita Padhy · Abhinav Ganesh · Yue Hui · Hanlin Tang · SueYeon Chung |
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Poster
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Tue 17:00 |
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics Daniel Kunin · Javier Sagastuy-Brena · Surya Ganguli · Daniel L Yamins · Hidenori Tanaka |
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Poster
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Tue 1:00 |
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks Ziyao Li · Shuwen Yang · Guojie Song · Lingsheng Cai |
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Workshop
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Fri 11:58 |
Poster Spotlight "Tensorizing Neural Architecture Search in the Supernet" Hansi Yang · James Kwok · Quanming Yao |
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Poster
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Tue 9:00 |
The geometry of integration in text classification RNNs Kyle Aitken · Vinay Ramasesh · Ankush Garg · Yuan Cao · David Sussillo · Niru Maheswaranathan |