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45 Results
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Poster
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Wed 9:00 |
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael Sander · Pierre Ablin · Gabriel Peyré |
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Poster
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Wed 9:00 |
Adjoint-aided inference of Gaussian process driven differential equations Paterne GAHUNGU · Christopher Lanyon · Mauricio A Álvarez · Engineer Bainomugisha · Michael T Smith · Richard Wilkinson |
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Poster
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Wed 9:00 |
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method Ho Huu Nghia Nguyen · Tan Nguyen · Huyen Vo · Stanley Osher · Thieu Vo |
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Poster
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Wed 9:00 |
Transform Once: Efficient Operator Learning in Frequency Domain Michael Poli · Stefano Massaroli · Federico Berto · Jinkyoo Park · Tri Dao · Christopher Ré · Stefano Ermon |
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Workshop
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D-CIPHER: Discovery of Closed-form Partial Differential Equations Krzysztof Kacprzyk · Zhaozhi Qian · Mihaela van der Schaar |
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Poster
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Wed 9:00 |
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations Steffen Schotthöfer · Emanuele Zangrando · Jonas Kusch · Gianluca Ceruti · Francesco Tudisco |
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Poster
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Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras · Miika Aittala · Timo Aila · Samuli Laine |
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Poster
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EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao · Fan Bao · Chongxuan LI · Jun Zhu |
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Poster
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Tue 9:00 |
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus Howe · Simon Dufort-Labbé · Nitarshan Rajkumar · Pierre-Luc Bacon |