Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Authors
 
Session Overview
Session
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

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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. Bastek1, S. W. Sun2, D. M. Kochmann1

1ETH Zurich; 2Columbia University, USA