2025
- Efficient training of Sampled Neural Networks on GPUs. Masterarbeit, 2025 mehr…
- Numerical approximation of kernels in convolutional neural networks. Masterarbeit, 2025 mehr…
- Data-Driven Selection of Algorithmic Configurations in Particle Simulations. Bachelorarbeit, 2025 mehr…
- L1-norm regularization of sampled neural networks. Masterarbeit, 2025 mehr…
- Conditional diffusion models for molecular dynamics conformation sampling. Masterarbeit, 2025 mehr…
- State-Space Models for the Analysis of Time-Series. Masterarbeit, 2025 mehr…
- Solving Inverse Problems with Differentiable N-Body Systems. Masterarbeit, 2025 mehr…
- Hierarchical Time Series Forecasting for Electricity Demand. Masterarbeit, 2025 mehr…
2024
- Parametric and Dynamic Surrogate Models for Crowd Simulations. Masterarbeit, 2024 mehr…
- Using neural networks with domain decomposition to solve partial differential equations. Masterarbeit, 2024 mehr…
- Probabilistic Sales Data Forecasting using Stochastic Differential Equations. Masterarbeit, 2024 mehr…
- Freeform three-dimensional structural design generation with machine learning. Masterarbeit, 2024 mehr…
- Convergence of numerical methods for ordinary differential equations of second order. IDP-Arbeit, 2024 mehr…
- Combining frequency decomposition and spectral mixture kernels with multi-fidelity Gaussian processes. Masterarbeit, 2024 mehr…
- Solving the three-body problem with neural networks. Bachelorarbeit, 2024 mehr…
- Solving least-squares problems involving large dense matrices. Studienarbeit, 2024 mehr…
- Object Recognition with LLMs. Masterarbeit, 2024 mehr…
- Sampling Neural Networks to Approximate Hamiltonian Functions. Masterarbeit, 2024 mehr…
- Explaining Neural Network Features through Kernel Eigenfunctions. Studienarbeit, 2024 mehr…
- A Path to Analyzing Prostate Cancer Microstructure Using Diffusion MRI. Masterarbeit, 2024 mehr…
- Using Large Language Models for Good Scientific Writing. Masterarbeit, 2024 mehr…
- Deep Learning Based Approach to Find Cross-selling Opportunities in Insurance. , 2024 mehr…
- Data-Driven Compression for Computational Fluid Dynamics Simulations Using Hypernetworks and Implicit Neural Representations. Masterarbeit, 2024 mehr…
- Predicting Building Occupancy with the Koopman Operator. Masterarbeit, 2024 mehr…
- Transformations between fully connected and convolutional neural networks. Masterarbeit, 2024 mehr…
- Deep learning based surrogate modeling techniques for computational fluid dynamics. Masterarbeit, 2024 mehr…
- Analyzing Approximations of Computation in Inference Hardware for Transformers. Masterarbeit, 2024 mehr…
- Capturing local-scale temperature patterns through machine-learning-based downscaling and bias-correction of global climate data. Masterarbeit, 2024 mehr…
- Single- and Multi-Fidelity Gaussian Process Regression Models with Uncertain Inputs. Bachelorarbeit, 2024 mehr…
- Training Dynamic Neural Networks. Masterarbeit, 2024 mehr…
- Parameterized Koopman operator models for crowd dynamics. Masterarbeit, 2024 mehr…
- Approximating simple functions on nonlinear manifolds in high dimensions. Studienarbeit, 2024 mehr…
- Consensus-Based Optimization of Sampled Neural Networks. Bachelorarbeit, 2024 mehr…
- Wearable device-based Human Activity Recognition (HAR). Masterarbeit, 2024 mehr…
- Explaining Transformers through Dynamical Systems Theory. Masterarbeit, 2024 mehr…
- Scalable Sampling of Deep Neural Operators. Masterarbeit, 2024 mehr…
- Iterative Sampling of Deep Operator Networks. Masterarbeit, 2024 mehr…
- Evaluating Convolutional Neural Networks in Multi-Fidelity Modeling. Masterarbeit, 2024 mehr…
- Full Waveform Inversion with Neural Network Based Ansatzfunctions. Masterarbeit, 2024 mehr…
- Sampling weights of auto-encoder networks. Masterarbeit, 2024 mehr…
- Dynamic Mode Decomposition for Multi-scale Analysis of Crowd Simulation. Masterarbeit, 2024 mehr…
- SWIM in Point Clouds: Sampling Weights for PointNet. Masterarbeit, 2024 mehr…
2023
- Solving Heat Conduction Problems with DeepONets. Masterarbeit, 2023 mehr…
- Bayesian Optimisation for the design of experiments. Studienarbeit, 2023 mehr…
- Machine Learning of Stochastic Differential Equations for Infection Models using Neural Networks. Masterarbeit, 2023 mehr…
- Unsupervised Segmentation of Light Microscopy Images. IDP-Arbeit, 2023 mehr…
- Distributed Training of Transformer Neural Networks. Masterarbeit, 2023 mehr…
- Applications of Kernel-Based Extended Dynamics Mode Decomposition. Masterarbeit, 2023 mehr…
- Sign Language Detection for Microsoft Teams. Masterarbeit, 2023 mehr…
- Sign Language Detection for Microsoft Teams. Masterarbeit, 2023 mehr…
- Approximating many-electron wave function with physics-aware surrogate models. Masterarbeit, 2023 mehr…
- Converting Neural Networks to Sampled Networks. Bachelorarbeit, 2023 mehr…
- Upsampling Computational Fluid Dynamics Simulation with Convolutional Neural Networks via preCICE. Bachelorarbeit, 2023 mehr…
- Approximating Solutions of Wave Equations Using DeepONets. Masterarbeit, 2023 mehr…
- Approximating Solutions of Wave Equations Using DeepONets. Masterarbeit, 2023 mehr…
- Identification of Stochastic Differential Equation with Lévy Noise. Studienarbeit, 2023 mehr…
- Uncertainty Quantification for Gaussian Processes. Bachelorarbeit, 2023 mehr…
- Bayesian Optimization of Material Synthesis Parameters with Gaussian Processes. Studienarbeit, 2023 mehr…
- Comparison of training techniques in neural architecture search. Masterarbeit, 2023 mehr…
- Bayesian optimization of material synthesis parameters. Bachelorarbeit, 2023 mehr…
- Neural Network Hyperparameter Optimization with Sparse Grids. Masterarbeit, 2023 mehr…
- Fast emulation of approximate hardware for edge deep neural network applications. Masterarbeit, 2023 mehr…
- Turbulence Modelling with JAX-SPH. Studienarbeit, 2023 mehr…
- Gaussian Processes for Light Microscopy Image Segmentation. Bachelorarbeit, 2023 mehr…
- Data-driven Control for Buildings. Masterarbeit, 2023 mehr…
- Efficient approximation of random basis functions for covariance kernels. Masterarbeit, 2023 mehr…
- Research Paper Recommendation System Using Natural Language Processing. Bachelorarbeit, 2023 mehr…
- Projection-based Railway Track Detection on 3D Point Clouds with Deep Learning. Masterarbeit, 2023 mehr…
- Gaussian process models for wheel locomotion. Masterarbeit, 2023 mehr…
- Full Waveform Inversion Using Generative Adversial Network Regularizers. Masterarbeit, 2023 mehr…
2022
- Infinite Horizon Control Using Koopman Operator Surrogate Models. Masterarbeit, 2022 mehr…
- Solving partial differential equations in high dimensional spaces using Deep Sparse Grids. , 2022 mehr…
- Transport of Discontinuous Densities with Normalizing Flows. IDP-Arbeit, 2022 mehr…
- Efficient Kernel Flows Optimization for Neural Network Induced Gaussian Process Kernels. , 2022 mehr…
- Domain Adaptation for Light Microscopy Image Segmentation. Masterarbeit, 2022 mehr…
- Object Detection with Limited Labels. Masterarbeit, 2022 mehr…
- Learning Aerosol Dynamics Directly From Image Data. Studienarbeit, 2022 mehr…
- Multi-fidelity machine learning for terramechanics. Semesterarbeit, 2022 mehr…
- Physics-Based Machine Learning Solutions to Wave Inversion. IDP-Arbeit, 2022 mehr…
- Change Detection at the Seafloor Using Vision-based 3D Semantic Mapping. Masterarbeit, 2022 mehr…