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Uncertainty on Asynchronous Time Event Prediction, , and . (2019)Adversarial Training for Graph Neural Networks., , , , , and . CoRR, (2023)Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models., , and . CoRR, (2023)On the Robustness and Anomaly Detection of Sparse Neural Networks., , , , , and . CoRR, (2022)Edge Directionality Improves Learning on Heterophilic Graphs., , , , , and . CoRR, (2023)Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood., , , , and . CoRR, (2024)Uncertainty Estimation for Molecules: Desiderata and Methods., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 37133-37156. PMLR, (2023)Differentiable DAG Sampling., , and . ICLR, OpenReview.net, (2022)Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions., , , , and . ICLR, OpenReview.net, (2022)Structurally Prune Anything: Any Architecture, Any Framework, Any Time., , , and . CoRR, (2024)