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19 Results
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Workshop
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Survey: Adaptive Physics-informed Neural Networks Edgar Torres Rios · Mathias Niepert |
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Workshop
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SepONet: Efficient Large-Scale Physics-Informed Operator Learning Xinling Yu · Sean Hooten · Ziyue Liu · Yequan Zhao · Marco Fiorentino · Thomas Van Vaerenbergh · Zheng Zhang |
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Workshop
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The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana · Michael McCabe · Lucas Meyer · Rudy Morel · Fruzsina Agocs · Miguel Beneitez · Marsha Berger · Blakesly Burkhart · Stuart Dalziel · Drummond Fielding · Daniel Fortunato · Jared Goldberg · Keiya Hirashima · Yan-Fei Jiang · Rich Kerswell · Suryanarayana Maddu · Jonah Miller · Payel Mukhopadhyay · Stefan Nixon · Jeff Shen · Romain Watteaux · Bruno Régaldo-Saint Blancard · Liam Parker · Miles Cranmer · Shirley Ho |
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Workshop
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín |
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Oral
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Fri 10:20 |
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Zekun Shi · Zheyuan Hu · Min Lin · Kenji Kawaguchi |
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Poster
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Fri 11:00 |
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Zekun Shi · Zheyuan Hu · Min Lin · Kenji Kawaguchi |
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Poster
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Thu 16:30 |
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement Jeremiah Birrell · Reza Ebrahimi · Rouzbeh Behnia · Jason Pacheco |