Session | ||
S25.02: Various topics in Computational and mathematical methods in data science
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Presentations | ||
4:30pm - 4:50pm
Neural ODE for Hamiltonian Systems with Irregular and Noisy Data Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg 4:50pm - 5:10pm
Functional SDE approximation inspired by a deep operator network architecture Weierstrass Institute for Applied Analysis and Stochastics 5:10pm - 5:30pm
Approximating Langevin Monte Carlo with ResNet-like Neural Network Architectures Weierstrass Institute for Applied Analysis and Stochastics 5:30pm - 5:50pm
Blending Finite Volume Fluxes with Reinforcement Learning University of Cologne 5:50pm - 6:10pm
Extending denoising diffusion generative models by respecting physical constraints 1ETH Zurich; 2Columbia University, USA |