Mohammad Anas Khan
Black-Box Optimization for Engineering Systems with Score-Function Estimator
2024

Aron Kerschbaumer
Quantum Informed Optimization Algorithms
Masterarbeit
2023

Atamert Rahma
Sampling Neural Networks to Approximate Hamiltonian Functions
Masterarbeit
2024

Patrick Bettermann
Analysis of Aircraft Noise Data in the Area of the Airport of Hamburg
Masterarbeit
2024

Kislaya Ravi;Atul Agrawal;Hans-Joachim Bungartz;Phaedon-Stelios Koutsourelakis
Multi-fidelity Constrained Optimization for Stochastic Black-Box Simulators
Machine Learning and the Physical Sciences Workshop at the 37th conference on Neural Information Processing Systems (NeurIPS) December 15, 2023
2023

Thiago Lima Carneiro
Efficient Uncertainty Quantification for Power Networks
Masterarbeit
2024

Vaishali Ravishankar
Exploratory Analysis of Turbulent Flow Data using GNN-based Surrogate Model
Masterarbeit
2024

Michael Bader
Model Flexibility and Performance Portability for Extreme-Scale Earthquake Simulations
HPCSIM - Frontiers of High-Performance Computing in Modeling and Simulation
2024

Benjamin Rodenberg
High-fidelity partitioned multiphysics with preCICE and open-source solvers
PDESoft 2024
2024

Baysan, Mustafa Fatih
Using Deep Learning for Estimation of Objects Properties with Radar in Low Earth Orbits
Masterarbeit
2024