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Poster
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Wed 11:00
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The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
Christopher Blöcker · Chester Tan · Ingo Scholtes
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Oral
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Fri 15:30
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Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Nicholas Gao · Stephan Günnemann
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Workshop
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Scale-consistent learning with neural operators
Zongyi Li · Samuel Lanthaler · Catherine Deng · Yixuan Wang · Kamyar Azizzadenesheli · Animashree Anandkumar
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Poster
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Wed 11:00
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Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals · A Erdem Sağtekin · Felix Pei · Manuel Gloeckler · Jakob H Macke
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Workshop
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Equation-driven Neural Networks for Periodic Quantum Systems
Circe Hsu · Marios Mattheakis · Gabriel Schleder · Daniel Larson
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Poster
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Thu 16:30
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Provably Safe Neural Network Controllers via Differential Dynamic Logic
Samuel Teuber · Stefan Mitsch · André Platzer
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Oral
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Fri 10:20
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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
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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
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Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement
Jeremiah Birrell · Reza Ebrahimi · Rouzbeh Behnia · Jason Pacheco
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