MikeLasz
Working on statistically sound Deep Generative Models. PhD Student at Ruhr University Bochum.
@ruhr-uni-bochumBochum, Germany
Pinned Repositories
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
Benchmarking-Fairness-ImageUpsampling
[ACM FAccT 2024] Benchmarking the Fairness of Image Upsampling Methods
BiasAndGeneralization
Copula-Based-Normalizing-Flows
Generalizing the Base Distribution of a Normalizing Flow using a Copula-Approach.
deepgaldx
A little Science-Slam Project about Style-Transfer using Cycle-GANs.
Fair-pSp
Inofficial implementation of the debiasing framework of image-to-image models proposed in Debiasing Image-to-Image Translation Models, Tanjim et al..
flipad
[ICML 2024] Single-Model Attribution of Generative Models Through Final-Layer Inversion
marginalTailAdaptiveFlow
Marginal Tail-Adaptive Normalizing Flows [ICML 2022] https://arxiv.org/abs/2206.10311
robustness_rdf2vec
A seminar work at Ruhr-University Bochum (Seminar on Knowledge Graphs, Jun. Prof. Dr.-Ing. Maribel Acosta Deibe, 2020)
yo_flunk
Android Application that helps organizing Flunkyball leagues and tournaments https://mikelasz.github.io/yo_flunk/
MikeLasz's Repositories
MikeLasz/Copula-Based-Normalizing-Flows
Generalizing the Base Distribution of a Normalizing Flow using a Copula-Approach.
MikeLasz/Benchmarking-Fairness-ImageUpsampling
[ACM FAccT 2024] Benchmarking the Fairness of Image Upsampling Methods
MikeLasz/robustness_rdf2vec
A seminar work at Ruhr-University Bochum (Seminar on Knowledge Graphs, Jun. Prof. Dr.-Ing. Maribel Acosta Deibe, 2020)
MikeLasz/flipad
[ICML 2024] Single-Model Attribution of Generative Models Through Final-Layer Inversion
MikeLasz/yo_flunk
Android Application that helps organizing Flunkyball leagues and tournaments https://mikelasz.github.io/yo_flunk/
MikeLasz/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
MikeLasz/BiasAndGeneralization
MikeLasz/deepgaldx
A little Science-Slam Project about Style-Transfer using Cycle-GANs.
MikeLasz/Fair-pSp
Inofficial implementation of the debiasing framework of image-to-image models proposed in Debiasing Image-to-Image Translation Models, Tanjim et al..
MikeLasz/Gaussianization_Flows
MikeLasz/invertible-resnet
Official Code for Invertible Residual Networks
MikeLasz/marginalTailAdaptiveFlow
Marginal Tail-Adaptive Normalizing Flows [ICML 2022] https://arxiv.org/abs/2206.10311
MikeLasz/thav.glasso
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery
MikeLasz/mikelasz.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
MikeLasz/nflows
Normalizing flows in PyTorch
MikeLasz/Normalizing-Flows
A repository to learn about Flows, mostly from papers
MikeLasz/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
MikeLasz/paper-template
Template for a new paper repository with code, data, and a LaTeX manuscript. Use the Github "Import repository" to create a new paper.
MikeLasz/Progressive_Growing_of_GANs-PyTorch
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)