GAMM Workshop on Computational and Mathematical Methods in Data Science (COMinDS)

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Dinner at Wenzels

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A Note on the Regularity of Images Generated by Convolutional Neural Networks

cancelled - Breast Cancer Prediction using Machine Learning Algorithms - A Deep Learning Approach

Cancelled - Optimizable Large Eddy Simulation: Coupling PDE solvers and Reinforcement Learning

Data-driven Approximation of the Koopman Generator

End-to-end reconstruction meets data-driven regularization for inverse problems

Fast Explainable Fourier-ANOVA Methods for Machine Learning

Gaussian Process Regression in Learning Control

Generalized Quadratic Embeddings for Nonlinear Dynamical Systems

Grid Adjacency-based Dynamic Mode Decomposition for Incompressible Fluid Dynamics

Matrix-Free Hyperparameter Optimization for Gaussian Processes

Nonnegative Matrix Factorization: Introduction, Identifiability and Computation

POD-Galerkin ROMs and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations

Spiking neural network for nonlinear regression

Using Trained Machine Learning Predictors in Gurobi

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03/11/2022

04/11/2022

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