Bertrand Charpentier

Posterior-Network. Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

Differentiable-DAG-Sampling. Differentiable DAG Sampling (ICLR 2022)

Uncertainty-Event-Prediction. Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)

Hierarchical-Paris-Clustering. Hierarchical Graph Clustering using Node Pair Sampling (MLG, KDD Workshop) - Multi-scale Clustering in Graphs using Modularity (DiVA)

awesome-ai-reliability. A curated list of materials on AI reliability

Aleatoric-Epistemic-Uncertainty-RL. Distribution-Free Uncertainty Quantification Workshop (DFUQ - ICML 2022)

Text-Classification-using-String-Kernels. Python

natural-posterior-network. Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

Tree-Sampling-Divergence. Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering (IJCAI 2019)

Multi-Scale-Modularity-Graph-Clustering. Multi-scale Clustering in Graphs using Modularity (DiVA)

static-dynamic-graff. GRAFF: Understanding Convolution on Graphs via Energies (TMLR 2023)

Graph-Posterior-Network. Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

Logistic-Regression. Python

phd-thesis. TeX

Uncertainty-AI-Reading-Group. HTML