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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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Learning interacting dynamical systems with latent Gaussian process ODEs
Çağatay Yıldız · Melih Kandemir · Barbara Rakitsch
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Poster
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Wed 9:00
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Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Michael Sander · Pierre Ablin · Gabriel Peyré
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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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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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Workshop
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Learning Ordinary Differential Equations with the Line Integral Loss Function
Albert Johannessen
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Poster
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Tue 9:00
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A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak
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Poster
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M2N: Mesh Movement Networks for PDE Solvers
Wenbin Song · Mingrui Zhang · Joseph G Wallwork · Junpeng Gao · Zheng Tian · Fanglei Sun · Matthew Piggott · Junqing Chen · Zuoqiang Shi · Xiang Chen · Jun Wang
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Poster
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Wed 9:00
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Riemannian Neural SDE: Learning Stochastic Representations on Manifolds
Sung Woo Park · Hyomin Kim · Kyungjae Lee · Junseok Kwon
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Poster
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Tue 9:00
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Deep Generalized Schrödinger Bridge
Guan-Horng Liu · Tianrong Chen · Oswin So · Evangelos Theodorou
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Poster
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Thu 14:00
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Is L2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
Chuwei Wang · Shanda Li · Di He · Liwei Wang
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