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Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions.

, , , , и . CoRR, (2021)

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Другие публикации лиц с тем же именем

Uncertainty on Asynchronous Time Event Prediction, , и . (2019)On the Robustness and Anomaly Detection of Sparse Neural Networks., , , , , и . CoRR, (2022)Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions., , , , и . ICLR, OpenReview.net, (2022)Differentiable DAG Sampling., , и . ICLR, OpenReview.net, (2022)Uncertainty Estimation for Molecules: Desiderata and Methods., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 37133-37156. PMLR, (2023)Structurally Prune Anything: Any Architecture, Any Framework, Any Time., , , и . CoRR, (2024)Edge Directionality Improves Learning on Heterophilic Graphs., , , , , и . LoG, том 231 из Proceedings of Machine Learning Research, стр. 25. PMLR, (2023)Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions., , , , и . CoRR, (2021)Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification., , , , и . NeurIPS, стр. 18033-18048. (2021)Winning the Lottery Ahead of Time: Efficient Early Network Pruning., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 18293-18309. PMLR, (2022)