KIT - ISAS - Jobs - Bachelor-/Masterthesis

Bachelor's / Master's Theses
Titel	Art	Ansprechpartner
Vertrauenswürdige Vorhersagen in der modellprädiktiven Regelung	Bachelor-/Masterthesis	Markus Walker
Variational Autoencoder (VAE) mit Deterministischem Sampling	Bachelor/Master Thesis	Daniel Frisch
Stochastische modellprädiktive Regelung eines optischen Sortierers mit zweidimensionalem Aktorenarray	Masterthesis	Marcel Reith-Braun
Reinforcement Learning-Based Control of a Single-Actuator Bulk Material Sorting System	Bachelor/Master Thesis	Marcel Reith-Braun
Redirected Walking in fotorealistischer VR-Umgebung	Bachelor/Master Thesis	Dominik Pikos
RSSI-Based Localization of mobile Agents with Bayesian Neural Networks	Bachelor/Master Thesis	Leon Winheim
Prototypische Entwicklung eines effizienten Ausschleusesystems für optische Sortierer	Bachelor-/Masterthesis	Marcel Reith-Braun
Online Learnig with filter-based Bayesian Neural Networks	Bachelor/Master Thesis	Leon Winheim
Model Predictive Control for Deformable Manipulation Tasks	Bachelor/Master Thesis	Markus Walker (ISAS) Tai Hoang (ALR)
Maschinelles Lernen mit Orthogonalen Flows	Bachelor/Master Thesis	Daniel Frisch
MPC on Graph Neural Simulators	Bachelor/Master Thesis	Markus Walker (ISAS) Tai Hoang (ALR)
Learning-based Hybrid State Estimation Filters	Bachelor/Master Thesis	Sukkeun Kim
Interactive Visualization Webapp with Plotly/Dash	Bachelor/Master Thesis	Daniel Frisch
In-situ-Schätzung von Materialparametern mittels Machine Learning	Master's Thesis	Markus Walker (ISAS) Johannes Mitsch (FAST) Tobias Würth (FAST)
High-Quality Assumed Gaussian Filtering for Nonlinear Systems	Bachelor/Master Thesis	Jiachen Zhou
Grid-Based Machine Learning with Tensor Decompositions	Bachelor/Master Thesis	Daniel Frisch
Gaussian Process-Based Nonlinear Filtering	Bachelor/Master Thesis	Dominik Prossel Sharik Siddiqi
Gaussian Mixture Sample Reduction	Bachelor/Master Thesis	Daniel Frisch
GPU-accelerated optimal deterministic sampling	Bachelorthesis/Hiwi job	Prossel, Dominik
Filter-based Bayesian Neural Networks in Reinforcement Learning	Bachelor/Master Thesis	Leon Winheim
Entwicklung eines Testverfahrens für Unsicherheitsschätzungen von bayes'schen neuronalen Netzen	Bachelor-/Masterthesis	Markus Walker Marcel Reith-Braun
Entwicklung eines Gütemaßes für Bayes’sche neuronale Netze	Bachelor/Master Thesis	Markus Walker Dominik Prossel
Deterministic Sampling of High-Dimensional Probability Distributions Using Projections	Bachelor/Master Thesis	Prossel, Dominik
Deterministic Sampling Using Neuronal Networks	Bachelor/Master Thesis	Prossel, Dominik
Conditional Density Estimation using Neural Network-Based Gaussian Process Approximations	Bachelor/Master Thesis	Sharik Siddiqi
Certifiably Globally Optimal Unsupervised Machine Learning	Master's Thesis	Daniel Frisch
Bayesian Filtering for Nonlinear Systems	Bachelor/Master Thesis	Prossel, Dominik
Bayesian 3D Extended Object Tracking in Particle Measurement	Bachelor/Master Thesis	Jiachen Zhou