Results

Poster		Defending Against Adversarial Attacks via Neural Dynamic System Xiyuan Li · Zou Xin · Weiwei Liu
Poster	Wed 9:00	Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael Sander · Pierre Ablin · Gabriel Peyré
Workshop		Efficient Robustness Verification of Neural Ordinary Differential Equations Mustafa Zeqiri · Mark Müller · Marc Fischer · Martin Vechev
Workshop	Fri 13:30	Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations Andreas Besginow
Poster		Neural Stochastic Control Jingdong Zhang · Qunxi Zhu · Wei LIN
Workshop		Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations Andreas Besginow · Markus Lange-Hegermann
Poster	Wed 9:00	Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method Ho Huu Nghia Nguyen · Tan Nguyen · Huyen Vo · Stanley Osher · Thieu Vo
Workshop		Learning Ordinary Differential Equations with the Line Integral Loss Function Albert Johannessen
Workshop		Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators Haydn Maust · Zongyi Li · Yixuan Wang · Anima Anandkumar
Poster	Thu 14:00	Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? Chuwei Wang · Shanda Li · Di He · Liwei Wang
Poster	Wed 9:00	Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics Cristopher Salvi · Maud Lemercier · Andris Gerasimovics
Poster	Wed 9:00	Riemannian Neural SDE: Learning Stochastic Representations on Manifolds Sung Woo Park · Hyomin Kim · Kyungjae Lee · Junseok Kwon