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15 Results
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Poster
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Tue 9:00 |
On the Origin of Implicit Regularization in Stochastic Gradient Descent Samuel Smith · Benoit Dherin · David Barrett · Soham De |
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Poster
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Mon 1:00 |
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering Calypso Herrera · Florian Krach · Josef Teichmann |
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Poster
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Thu 9:00 |
Neural Spatio-Temporal Point Processes Tian Qi Chen · Brandon Amos · Maximilian Nickel |
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Poster
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Wed 1:00 |
Neural Delay Differential Equations Qunxi Zhu · Yao Guo · Wei Lin |
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Poster
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Tue 17:00 |
Fourier Neural Operator for Parametric Partial Differential Equations Zongyi Li · Nikola B Kovachki · Kamyar Azizzadenesheli · Burigede liu · Kaushik Bhattacharya · Andrew Stuart · Anima Anandkumar |
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Poster
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Tue 9:00 |
Learning Neural Event Functions for Ordinary Differential Equations Tian Qi Chen · Brandon Amos · Maximilian Nickel |
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Poster
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Wed 9:00 |
Learning advanced mathematical computations from examples François Charton · Amaury Hayat · Guillaume Lample |
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Poster
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Tue 17:00 |
Lipschitz Recurrent Neural Networks N. Benjamin Erichson · Omri Azencot · Alejandro Queiruga · Liam Hodgkinson · Michael W Mahoney |
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Poster
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Thu 1:00 |
Learning continuous-time PDEs from sparse data with graph neural networks Valerii Iakovlev · Markus Heinonen · Harri Lähdesmäki |
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Poster
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Wed 1:00 |
Neural ODE Processes Alexander Norcliffe · Cristian Bodnar · Ben Day · Jacob Moss · Pietro Liò |
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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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Oral
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Wed 16:30 |
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song · Jascha Sohl-Dickstein · Durk Kingma · Abhishek Kumar · Stefano Ermon · Ben Poole |