Deep learning to assess long-term lung cancer risk from chest radiographs

FDFO: Finite Difference Flow Optimization

Annotations for the PI-CAI Challenge: Public Training and Development Dataset

Deep Learning Interpretability with Symbolic Regression

Official Implementation of pMF https://arxiv.org/abs/2601.22158

Implementation of One-step Latent-free Image Generation with Pixel Mean Flows (Lu et al., 2026)

TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.

Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.

Opening the Black Box with LRP: A Hands-on Guide to Explainable AI for LLMs

An efficient local intrinsic dimension estimator with diffusion models.

Uncertainty Representation and Quantification for Machine Learning 🤔

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

Explaining similarity in vision-language encoders with weighted Banzhaf interactions (NeurIPS 2025)

[ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"

(TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.

[NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in Language Models via Relevance Patching"

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

[CVPR 2025 Oral] Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)

Release for Improved Denoising Diffusion Probabilistic Models

A bold comic journey through the world of AI transparency! Join Beta and Bit as they show why post-hoc explanations matter — from Berlin to London, from bias detection to scientific discovery. Insi…

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

http://credibleai.eu/

A collection of papers on Diffusion for Image-to-Image Translation and Style Transfer