|
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 L2L2 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
|
|
