Conference Time: 10th May 2024, 09:20:55pm CEST
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S25.02: Various topics in Computational and mathematical methods in data science
Time:
Tuesday, 19/Mar/2024:
4:30pm - 6:30pm
Session Chair: Franziska Nestler
Location: G22/H2 Lecture Hall 2 in Building 22; size: 148
Presentations
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. Bastek 1 , S. W. Sun2 , D. M. Kochmann1
1 ETH Zurich; 2 Columbia University, USA
