Winning the Lottery Ahead of Time
Efficient Early Network Pruning - ICML 2022
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Natural Posterior Network
Deep Bayesian Uncertainty for Exponential Family Distributions - ICLR 2022
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End-to-End Learning of Probabilistic Hierarchies on Graphs
ICLR 2022
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Differentiable DAG Sampling
ICLR 2022
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Graph Posterior Network
Bayesian Predictive Uncertainty for Node Classification - NeurIPS 2021
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Evaluating Robustness of Predictive Uncertainty Estimation
Are Dirichlet-based Models Reliable? - ICML 2021
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On Out-of-distribution Detection with Energy-Based Models
UDL 2021 (ICML)
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Posterior Network
Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts - NeurIPS 2020
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Scikit-network
Graph Analysis in Python - JMLR 2020
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Uncertainty on Asynchronous Time Event Prediction
ICLR 2022
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Tree Sampling Divergence
An Information-Theoretic Metric for Hierarchical Graph Clustering - IJCAI 2019
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Multi-scale Clustering in Graphs using Modularity
KTH Publication Library (DiVA) 2019
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Hierarchical Graph Clustering using Node Pair Sampling
MLG 2018 (KDD)