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Disambiguation of "Hernández-Lobato, José Miguel"

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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction.

, , and . ICLR, OpenReview.net, (2023)

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José Hernández Rivera

José Hernández-Richter

José Luis Hernández-López

José Roberto Flores Hernández

José Rafael Hernández Arias

 

Other publications of authors with the same name

Gaussianity Measures for Detecting the Direction of Causal Time Series., , and . IJCAI, page 1318-1323. IJCAI/AAAI, (2011)'In-Between' Uncertainty in Bayesian Neural Networks, , , and . (2019)cite arxiv:1906.11537Comment: Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning.Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model., , , , , and . CoRR, (2019)DRIFT: Deep Reinforcement Learning for Functional Software Testing., , , , , , , , , and 3 other author(s). CoRR, (2020)Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI., , , , , , , , , and 15 other author(s). CoRR, (2024)Actively Learning what makes a Discrete Sequence Valid., , and . CoRR, (2017)Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters., , and . CoRR, (2018)Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1470-1479. PMLR, (2017)Cold-start Active Learning with Robust Ordinal Matrix Factorization., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 766-774. JMLR.org, (2014)Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 379-387. JMLR.org, (2014)