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45 Results
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Poster
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Tue 9:00 |
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms Sadhika Malladi · Kaifeng Lyu · Abhishek Panigrahi · Sanjeev Arora |
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Poster
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Neural Stochastic Control Jingdong Zhang · Qunxi Zhu · Wei LIN |
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Poster
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Wed 14:00 |
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 14:00 |
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 |
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules Kazuki Irie · Francesco Faccio · Jürgen Schmidhuber |
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Workshop
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Efficient Robustness Verification of Neural Ordinary Differential Equations Mustafa Zeqiri · Mark Müller · Marc Fischer · Martin Vechev |
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Workshop
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Discovering ordinary differential equations that govern time-series Sören Becker · Michal Klein · Alexander Neitz · Giambattista Parascandolo · Niki Kilbertus |
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Poster
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Wed 9:00 |
Learning Modular Simulations for Homogeneous Systems Jayesh Gupta · Sai Vemprala · Ashish Kapoor |
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Poster
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Thu 9:00 |
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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Wed 14:00 |
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 |
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 |
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics Cristopher Salvi · Maud Lemercier · Andris Gerasimovics |