sharpenb/Posterior-Network

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Created about 4 years ago
Updated over 2 years ago

sharpenb/Posterior-Network

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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)

Aleatoric-Epistemic-Uncertainty-RL

Distribution-Free Uncertainty Quantification Workshop (DFUQ - ICML 2022)

Multi-Scale-Modularity-Graph-Clustering

Multi-scale Clustering in Graphs using Modularity (DiVA)

Jupyter Notebook

Tree-Sampling-Divergence

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

Jupyter Notebook

static-dynamic-graff

GRAFF: Understanding Convolution on Graphs via Energies (TMLR 2023)

Text-Classification-using-String-Kernels