Constrained Bayesian optimization for automatic chemical design using variational autoencoders
Griffiths, Ryan-Rhys, Hernández-Lobato, José Miguel
Published in Chemical science (Cambridge) (14.01.2020)
Published in Chemical science (Cambridge) (14.01.2020)
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Journal Article
Data-Driven Insights into the Transition-Metal-Catalyzed Asymmetric Hydrogenation of Olefins
Singh, Sukriti, Hernández-Lobato, José Miguel
Published in Journal of organic chemistry (06.09.2024)
Published in Journal of organic chemistry (06.09.2024)
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Journal Article
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design
García-Ortegón, Miguel, Simm, Gregor N. C., Tripp, Austin J., Hernández-Lobato, José Miguel, Bender, Andreas, Bacallado, Sergio
Published in Journal of chemical information and modeling (08.08.2022)
Published in Journal of chemical information and modeling (08.08.2022)
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Journal Article
Expectation propagation in linear regression models with spike-and-slab priors
Hernández-Lobato, José Miguel, Hernández-Lobato, Daniel, Suárez, Alberto
Published in Machine learning (01.06.2015)
Published in Machine learning (01.06.2015)
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Journal Article
Sampling the Variational Posterior with Local Refinement
Havasi, Marton, Snoek, Jasper, Tran, Dustin, Gordon, Jonathan, Hernández-Lobato, José Miguel
Published in Entropy (Basel, Switzerland) (08.11.2021)
Published in Entropy (Basel, Switzerland) (08.11.2021)
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Journal Article
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators
Reagen, Brandon, Whatmough, Paul, Adolf, Robert, Rama, Saketh, Lee, Hyunkwang, Lee, Sae Kyu, Hernandez-Lobato, Jose Miguel, Wei, Gu-Yeon, Brooks, David
Published in 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA) (01.06.2016)
Published in 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA) (01.06.2016)
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Conference Proceeding
Expectation Propagation for microarray data classification
HERNANDEZ-LOBATO, Daniel, HERNANDEZ-LOBATO, José Miguel, SUAREZ, Alberto
Published in Pattern recognition letters (01.09.2010)
Published in Pattern recognition letters (01.09.2010)
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Journal Article
Bayes Machines for binary classification
Hernández-Lobato, Daniel, Hernández-Lobato, José Miguel
Published in Pattern recognition letters (15.07.2008)
Published in Pattern recognition letters (15.07.2008)
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Journal Article
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
Gómez-Bombarelli, Rafael, Wei, Jennifer N, Duvenaud, David, Hernández-Lobato, José Miguel, Sánchez-Lengeling, Benjamín, Sheberla, Dennis, Aguilera-Iparraguirre, Jorge, Hirzel, Timothy D, Adams, Ryan P, Aspuru-Guzik, Alán
Published in ACS central science (28.02.2018)
Published in ACS central science (28.02.2018)
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Journal Article
SYSTEM AND METHOD FOR TRAINING ARTIFICIAL INTELLIGENCE MODEL
HERNANDEZ LOBATO JOSE MIGUEL, NALISNICK ERIC, GORDON JONATHAN, LEE BYEONG CHAN, PINSLER ROBERT
Year of Publication 10.03.2021
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Year of Publication 10.03.2021
Patent
SYSTEM AND METHOD FOR TRAINING ARTIFICIAL INTELLIGENCE MODEL
PINSLER, Robert, GORDON, Jonathan, HERNANDEZ LOBATO, Jose Miguel, NALISNICK, Eric, LEE, Byeongchan
Year of Publication 04.03.2021
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Year of Publication 04.03.2021
Patent
Network-based sparse Bayesian classification
Miguel Hernández-Lobato, Jose, Hernández-Lobato, Daniel, Suárez, Alberto
Published in Pattern recognition (01.04.2011)
Published in Pattern recognition (01.04.2011)
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Journal Article
A case for efficient accelerator design space exploration via Bayesian optimization
Reagen, Brandon, Hernandez-Lobato, Jose Miguel, Adolf, Robert, Gelbart, Michael, Whatmough, Paul, Gu-Yeon Wei, Brooks, David
Published in 2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) (01.07.2017)
Published in 2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) (01.07.2017)
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Conference Proceeding
Semiparametric bivariate Archimedean copulas
HERNANDEZ-LOBATO, Jose Miguel, SUAREZ, Alberto
Published in Computational statistics & data analysis (01.06.2011)
Published in Computational statistics & data analysis (01.06.2011)
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Journal Article