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Leibniz Universität Hannover
- https://ymahlau.github.io/
- in/yannik-mahlau
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Learning in infinite dimension with neural operators.
🎡 Build Python wheels for all the platforms with minimal configuration.
✨🔬 A flexible diffraction simulator for exploring and visualizing physical optics.
Differentiable Finite Element Method with JAX
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡
Provide Python access to the NVML library for GPU diagnostics
Interpolation and function approximation with JAX
Multiple dispatch over abstract array types in JAX.
Visualize, create, and operate on pytrees in the most intuitive way possible.
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
The code for the voraus-AD dataset paper.
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.
BONNI: Bayesian Optimization via Neural Network surrogates and Interior Point Optimization
Code for the AAAI 2024 Paper "Q-SENN: Quantized Self-Explaining Neural Networks"
Code for the ICLR 2025 Paper "QPM: Discrete Optimization for Globally Interpretable Image Classification"
Official implementation of "Explainable Reinforcement Learning via Dynamic Mixture Policies"
Code for the paper: "Cascade - a Sequential Ensemble Method for Continuous Control Tasks"
Code for the NeurIPS 2025 Paper "CHiQPM: Calibrated Hierarchical Interpretable Image Classification"
Official repository to the paper "ModeConv: A novel convolution for distinguishing anomalous and normal structural behavior"
Synthetic Metropolis Homography Dataset for Multiple Homography Fitting
Python implementation of "Explaining Hyperparameter Optimization with PDPs" (https://arxiv.org/abs/2111.04820)