KIT - ISAS - Jobs - Bachelor-/Masterthesis

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