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Transforming Gaussian Processes With Normalizing Flows.

, , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1081-1089. PMLR, (2021)

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Transforming Gaussian Processes With Normalizing Flows., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1081-1089. PMLR, (2021)On Calibration of Mixup Training for Deep Neural Networks., , and . S+SSPR, volume 12644 of Lecture Notes in Computer Science, page 67-76. Springer, (2020)Transforming Gaussian Processes With Normalizing Flows., , , and . CoRR, (2020)Calibration of deep probabilistic models with decoupled bayesian neural networks., , and . Neurocomputing, (2020)Deep Transformed Gaussian Processes., , and . CoRR, (2023)Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 24045-24081. PMLR, (2023)Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks., , and . CoRR, (2022)Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions., , and . CoRR, (2020)Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification., , , , , , and . ICPR, page 1298-1305. IEEE, (2020)Generative Models For Deep Learning with Very Scarce Data., , and . CoRR, (2019)