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Large Language Models Are Zero-Shot Time Series Forecasters., , , and . CoRR, (2023)Residual Pathway Priors for Soft Equivariance Constraints., , and . NeurIPS, page 30037-30049. (2021)PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization., , , , , and . NeurIPS, (2022)Probabilistic Numeric Convolutional Neural Networks., , and . CoRR, (2020)There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average., , , and . ICLR (Poster), OpenReview.net, (2019)Non-Vacuous Generalization Bounds for Large Language Models., , , , , and . CoRR, (2023)SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5279-5289. PMLR, (2021)A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3318-3328. PMLR, (2021)Semi-Supervised Learning with Normalizing Flows., , , and . CoRR, (2019)Improving Consistency-Based Semi-Supervised Learning with Weight Averaging., , , and . CoRR, (2018)