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Poster
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Wed 14:00
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Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Tailin Wu · Takashi Maruyama · Jure Leskovec
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Poster
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Wed 14:00
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Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow · Markus Lange-Hegermann
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Poster
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Wed 9:00
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Learning Modular Simulations for Homogeneous Systems
Jayesh Gupta · Sai Vemprala · Ashish Kapoor
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Poster
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Thu 9:00
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PDEBench: An Extensive Benchmark for Scientific Machine Learning
Makoto Takamoto · Timothy Praditia · Raphael Leiteritz · Daniel MacKinlay · Francesco Alesiani · Dirk Pflüger · Mathias Niepert
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Poster
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Defending Against Adversarial Attacks via Neural Dynamic System
Xiyuan Li · Zou Xin · Weiwei Liu
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Poster
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Wed 14:00
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Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Xiang Huang · Zhanhong Ye · Hongsheng Liu · Shi Ji · Zidong Wang · Kang Yang · Yang Li · Min Wang · Haotian CHU · Fan Yu · Bei Hua · Lei Chen · Bin Dong
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Poster
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Thu 9:00
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Learning Fractional White Noises in Neural Stochastic Differential Equations
Anh Tong · Thanh Nguyen-Tang · Toan Tran · Jaesik Choi
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Poster
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Wed 9:00
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Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Cristopher Salvi · Maud Lemercier · Andris Gerasimovics
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Poster
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Tue 14:00
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Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
Zhiyuan Li · Tianhao Wang · Dingli Yu
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Poster
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Wed 14:00
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Score-Based Generative Models Detect Manifolds
Jakiw Pidstrigach
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Workshop
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Fri 13:30
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Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow
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Workshop
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Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow · Markus Lange-Hegermann
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