Jakob Taube
Analyzing Approximations of Computation in Inference Hardware for Transformers
Masterarbeit
2024

Amal Trigui
Freeform three-dimensional structural design generation with machine learning
Masterarbeit
2024

Ali Elbadry
Probabilistic Sales Data Forecasting using Stochastic Differential Equations
Masterarbeit
2024

Ezgi Sarıkayak
Data-Driven Compression for Computational Fluid Dynamics Simulations Using Hypernetworks and Implicit Neural Representations
Masterarbeit
2024

Mohammad Asif Ibna Mustafa
Wearable device-based Human Activity Recognition (HAR)
Masterarbeit
2024

Atamert Rahma; Chinmay Datar; Felix Dietrich
Training Hamiltonian neural networks without backpropagation
NeurIPS 2024 Workshop on Machine Learning and the Physical Sciences
2024

Kislaya Ravi; Vladyslav Fediukov; Felix Dietrich; Tobias Neckel; Fabian Buse; Michael Bergmann; Hans-Joachim Bungartz
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
Machine Learning: Science and Technology
2024
5
4
Oct
045015

Vladyslav Fediukov; Felix Dietrich; Fabian Buse; Jana Huhne
Uncertainty Quantification For Wheeled Locomotion Machine Learning Predictions On Soft Soil
Proceedings of the 21st International and 12th Asia-Pacific Regional Conference of the ISTVS
International Society for Terrain-Vehicle Systems
2024

Tom Bertalan; Felix Dietrich; Ioannis G. Kevrekidis
Transformations establishing equivalence across neural networks: When have two networks learned the same task?
Chaos: An Interdisciplinary Journal of Nonlinear Science
2024
34
7
Jun

David W Sroczynski; Felix Dietrich; Eleni D. Koronaki; Ronen Talmon; Ronald R. Coifman; Erik Bollt; Ioannis G. Kevrekidis
On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them
PNAS Nexus
2024
3
12
Nov