2024
- Parametric and Dynamic Surrogate Models for Crowd Simulations. Master thesis, 2024 more…
- Using neural networks with domain decomposition to solve partial differential equations. Master thesis, 2024 more…
- Probabilistic Sales Data Forecasting using Stochastic Differential Equations. Master thesis, 2024 more…
- Freeform three-dimensional structural design generation with machine learning. Master thesis, 2024 more…
- Convergence of numerical methods for ordinary differential equations of second order. IDP-Arbeit, 2024 more…
- Combining frequency decomposition and spectral mixture kernels with multi-fidelity Gaussian processes. Master thesis, 2024 more…
- Solving the three-body problem with neural networks. Bachelor thesis, 2024 more…
- Solving least-squares problems involving large dense matrices. Studien thesis, 2024 more…
- Object Recognition with LLMs. Master thesis, 2024 more…
- Sampling Neural Networks to Approximate Hamiltonian Functions. Master thesis, 2024 more…
- Explaining Neural Network Features through Kernel Eigenfunctions. Studien thesis, 2024 more…
- A Path to Analyzing Prostate Cancer Microstructure Using Diffusion MRI. Master thesis, 2024 more…
- Deep Learning Based Approach to Find Cross-selling Opportunities in Insurance. , 2024 more…
- Data-Driven Compression for Computational Fluid Dynamics Simulations Using Hypernetworks and Implicit Neural Representations. Master thesis, 2024 more…
- Predicting Building Occupancy with the Koopman Operator. Master thesis, 2024 more…
- Transformations between fully connected and convolutional neural networks. Master thesis, 2024 more…
- Deep learning based surrogate modeling techniques for computational fluid dynamics. Master thesis, 2024 more…
- Analyzing Approximations of Computation in Inference Hardware for Transformers. Master thesis, 2024 more…
- Capturing local-scale temperature patterns through machine-learning-based downscaling and bias-correction of global climate data. Master thesis, 2024 more…
- Single- and Multi-Fidelity Gaussian Process Regression Models with Uncertain Inputs. Bachelor thesis, 2024 more…
- Training Dynamic Neural Networks. Master thesis, 2024 more…
- Parameterized Koopman operator models for crowd dynamics. Master thesis, 2024 more…
- Approximating simple functions on nonlinear manifolds in high dimensions. Studien thesis, 2024 more…
- Consensus-Based Optimization of Sampled Neural Networks. Bachelor thesis, 2024 more…
- Wearable device-based Human Activity Recognition (HAR). Master thesis, 2024 more…
- Explaining Transformers through Dynamical Systems Theory. Master thesis, 2024 more…
- Scalable Sampling of Deep Neural Operators. Master thesis, 2024 more…
- Iterative Sampling of Deep Operator Networks. Master thesis, 2024 more…
- Evaluating Convolutional Neural Networks in Multi-Fidelity Modeling. Master thesis, 2024 more…
- Full Waveform Inversion with Neural Network Based Ansatzfunctions. Master thesis, 2024 more…
- Sampling weights of auto-encoder networks. Master thesis, 2024 more…
- Dynamic Mode Decomposition for Multi-scale Analysis of Crowd Simulation. Master thesis, 2024 more…
- SWIM in Point Clouds: Sampling Weights for PointNet. Master thesis, 2024 more…
2023
- Solving Heat Conduction Problems with DeepONets. Master thesis, 2023 more…
- Bayesian Optimisation for the design of experiments. Studien thesis, 2023 more…
- Machine Learning of Stochastic Differential Equations for Infection Models using Neural Networks. Master thesis, 2023 more…
- Unsupervised Segmentation of Light Microscopy Images. IDP-Arbeit, 2023 more…
- Distributed Training of Transformer Neural Networks. Master thesis, 2023 more…
- Applications of Kernel-Based Extended Dynamics Mode Decomposition. Master thesis, 2023 more…
- Sign Language Detection for Microsoft Teams. Master thesis, 2023 more…
- Sign Language Detection for Microsoft Teams. Master thesis, 2023 more…
- Approximating many-electron wave function with physics-aware surrogate models. Master thesis, 2023 more…
- Converting Neural Networks to Sampled Networks. Bachelor thesis, 2023 more…
- Upsampling Computational Fluid Dynamics Simulation with Convolutional Neural Networks via preCICE. Bachelor thesis, 2023 more…
- Approximating Solutions of Wave Equations Using DeepONets. Master thesis, 2023 more…
- Approximating Solutions of Wave Equations Using DeepONets. Master thesis, 2023 more…
- Identification of Stochastic Differential Equation with Lévy Noise. Studien thesis, 2023 more…
- Uncertainty Quantification for Gaussian Processes. Bachelor thesis, 2023 more…
- Bayesian Optimization of Material Synthesis Parameters with Gaussian Processes. Studien thesis, 2023 more…
- Comparison of training techniques in neural architecture search. Master thesis, 2023 more…
- Bayesian optimization of material synthesis parameters. Bachelor thesis, 2023 more…
- Neural Network Hyperparameter Optimization with Sparse Grids. Master thesis, 2023 more…
- Fast emulation of approximate hardware for edge deep neural network applications. Master thesis, 2023 more…
- Turbulence Modelling with JAX-SPH. Studien thesis, 2023 more…
- Gaussian Processes for Light Microscopy Image Segmentation. Bachelor thesis, 2023 more…
- Data-driven Control for Buildings. Master thesis, 2023 more…
- Efficient approximation of random basis functions for covariance kernels. Master thesis, 2023 more…
- Research Paper Recommendation System Using Natural Language Processing. Bachelor thesis, 2023 more…
- Projection-based Railway Track Detection on 3D Point Clouds with Deep Learning. Master thesis, 2023 more…
- Gaussian process models for wheel locomotion. Master thesis, 2023 more…
- Full Waveform Inversion Using Generative Adversial Network Regularizers. Master thesis, 2023 more…
2022
- Infinite Horizon Control Using Koopman Operator Surrogate Models. Master thesis, 2022 more…
- Solving partial differential equations in high dimensional spaces using Deep Sparse Grids. , 2022 more…
- Transport of Discontinuous Densities with Normalizing Flows. IDP-Arbeit, 2022 more…
- Efficient Kernel Flows Optimization for Neural Network Induced Gaussian Process Kernels. , 2022 more…
- Domain Adaptation for Light Microscopy Image Segmentation. Master thesis, 2022 more…
- Object Detection with Limited Labels. Master thesis, 2022 more…
- Learning Aerosol Dynamics Directly From Image Data. Studien thesis, 2022 more…
- Multi-fidelity machine learning for terramechanics. Semester thesis, 2022 more…
- Physics-Based Machine Learning Solutions to Wave Inversion. IDP-Arbeit, 2022 more…
- Change Detection at the Seafloor Using Vision-based 3D Semantic Mapping. Master thesis, 2022 more…