This is your work, valued

Berlin

Klaus-Rudolf Kladny

Expert
@rudolfwilliam

PhD student @ Max Planck Institute for Intelligent Systems. Currently, applied scientist intern @amzn. Machine Learning 🤖 enthusiast.

kladny.de/

satellite_image_forecasting. Models for the EarthNet2021 challenge.

46

torch-kde. A differentiable implementation of kernel density estimation in PyTorch.

21

DeepBC. Deep backtracking counterfactuals for causally compliant explanations.

5

de_bello_gallico. A LaTeX package that will enable you to write placeholder text like a Roman general.

5

scope-gen. Official code for the ICLR 2025 paper "Sequential conformal prediction for generative models" (SCOPE-Gen)

3

higher_order_adversarial_robustness. Exploring higher order effects in derivative regularization for adversarial robustness. Deep Learning project at ETH Zürich, Autumn Semester 2021

2

matrix_weighted_linear_estimators. R

2

penex. PyTorch implementation of the Penalized Exponential Loss (PENEX): A margin-based loss function for neural networks inspired by AdaBoost, designed to improve generalization.

2

tikzplotlib. :bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

1