Conference Agenda

4:30pm - 4:50pm

Neural ODE for Hamiltonian Systems with Irregular and Noisy Data

K. Janik, P. Goyal, P. Benner

Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg

4:50pm - 5:10pm

Functional SDE approximation inspired by a deep operator network architecture

M. Eigel, C. Miranda

Weierstrass Institute for Applied Analysis and Stochastics

5:10pm - 5:30pm

Approximating Langevin Monte Carlo with ResNet-like Neural Network Architectures

M. Eigel, C. Miranda, J. E. Schütte, D. Sommer

Weierstrass Institute for Applied Analysis and Stochastics

5:30pm - 5:50pm

Blending Finite Volume Fluxes with Reinforcement Learning

S. R. Schmickler, G. Gassner

University of Cologne

5:50pm - 6:10pm

Extending denoising diffusion generative models by respecting physical constraints

J.-H. Bastek¹, S. W. Sun², D. M. Kochmann¹

¹ETH Zurich; ²Columbia University, USA