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18 Results
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Workshop
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Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon · Quentin Garrido · Hannah Lawrence · Danyal Rehman · Yann LeCun · Bobak Kiani |
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Poster
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Mon 7:30 |
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang |
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Oral
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Mon 6:50 |
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang |
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Poster
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Characteristic Neural Ordinary Differential Equation XINGZI XU · Ali Hasan · Khalil Elkhalil · Jie Ding · VAHID TAROKH |
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Poster
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Wed 2:30 |
Stochastic Differentially Private and Fair Learning Andrew Lowy · Devansh Gupta · Meisam Razaviyayn |
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Poster
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Tue 7:30 |
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses Andrew Lowy · Meisam Razaviyayn |