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27 Results
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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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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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Wed 9:00 |
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia |
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Poster
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Wed 17:00 |
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi · Xiaolong Wang · Deepak Pathak · Yi Ma · Jitendra Malik |
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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 9:00 |
Are wider nets better given the same number of parameters? Anna Golubeva · Guy Gur-Ari · Behnam Neyshabur |
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Poster
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Wed 9:00 |
Entropic gradient descent algorithms and wide flat minima Fabrizio Pittorino · Carlo Lucibello · Christoph Feinauer · Gabriele Perugini · Carlo Baldassi · Elizaveta Demyanenko · Riccardo Zecchina |
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Oral
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Tue 13:13 |
On the mapping between Hopfield networks and Restricted Boltzmann Machines Matthew Smart · Anton Zilman |
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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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Poster
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Wed 1:00 |
Identifying Physical Law of Hamiltonian Systems via Meta-Learning Seungjun Lee · Haesang Yang · Woojae Seong |
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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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Spotlight
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Wed 16:45 |
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia |