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16 Results
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Poster
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Thu 10:30 |
Non-Linear Operator Approximations for Initial Value Problems Gaurav Gupta · Xiongye Xiao · Radu Balan · Paul Bogdan |
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Poster
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Wed 18:30 |
Half-Inverse Gradients for Physical Deep Learning Patrick Schnell · Philipp Holl · Nils Thuerey |
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Spotlight
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Wed 18:30 |
Half-Inverse Gradients for Physical Deep Learning Patrick Schnell · Philipp Holl · Nils Thuerey |
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Workshop
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Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators Léon Migus · Yuan Yin · Ahmed Mazari · patrick gallinari |
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Workshop
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Riemannian Neural SDE: Learning Stochastic Representations on Manifolds Sung Woo Park · Hyomin Kim · Hyeseong Kim · Junseok Kwon |
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Poster
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Mon 18:30 |
Path Integral Sampler: A Stochastic Control Approach For Sampling Qinsheng Zhang · Yongxin Chen |
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Poster
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Thu 10:30 |
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop Peng Jin · Xitong Zhang · Yinpeng Chen · Sharon Huang · Zicheng Liu · Youzuo Lin |
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Poster
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Tue 18:30 |
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng · Yutong He · Yang Song · Jiaming Song · Jiajun Wu · Junyan Zhu · Stefano Ermon |
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Spotlight
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Thu 2:30 |
D-CODE: Discovering Closed-form ODEs from Observed Trajectories Zhaozhi Qian · Krzysztof Kacprzyk · Mihaela van der Schaar |
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Poster
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Thu 2:30 |
D-CODE: Discovering Closed-form ODEs from Observed Trajectories Zhaozhi Qian · Krzysztof Kacprzyk · Mihaela van der Schaar |
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Poster
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Thu 2:30 |
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations Jaehoon Lee · Jeon Jinsung · Sheo yon Jhin · Jihyeon Hyeong · Jayoung Kim · Minju Jo · Kook Seungji · Noseong Park |
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Workshop
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An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations Florent Bonnet · Ahmed Mazari · Thibaut Munzer · Pierre Yser · patrick gallinari |