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J

José Miguel Hernández-Lobato

University of Cambridge

39H指数
258论文数
8.5K被引数
收录论文 14
发表时间
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Best practices for multi-fidelity Bayesian optimization in materials and molecular research材料和分子研究中多保真贝叶斯优化的最佳实践
errNature Computational Science
IF18.3
err2025-07-23
err0
errOAAI
errVíctor Sabanza-Gil; Riccardo Barbano; Daniel Pacheco Gutiérrez; Jeremy S. Luterbacher; José Miguel Hernández-Lobato; Philippe Schwaller; Loïc Roch
err分享
err收藏
Batched Bayesian Optimization by Maximizing the Probability of Including the Optimum通过最大化包含最优解的概率的批量贝叶斯优化
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2025-05-05
err0
PREAI
errFromer, Jenna; Wang, Runzhong; Manjrekar, Mrunali; Tripp, Austin; Hernandez-Lobato, Jose Miguel
err分享
err收藏
A meta-learning approach for selectivity prediction in asymmetric catalysis一种用于不对称催化选择性预测的元学习方法
errNATURE COMMUNICATIONS
IF15.7
err2025-04-16
err0
errOAAI
errSingh, Sukriti; Hernandez-Lobato, Jose Miguel
err分享
err收藏
Data-Driven Insights into the Transition-Metal-Catalyzed Asymmetric Hydrogenation of Olefins
errJOURNAL OF ORGANIC CHEMISTRY
IF3.6
err2024-08-16
err1
errOAAI
errSingh, Sukriti; Hernandez-Lobato, Jose Miguel
err分享
err收藏
Deep Kernel learning for reaction outcome prediction and optimization用于反应结果预测和优化的深度核学习
errCOMMUNICATIONS CHEMISTRY
IF6.2
err2024-06-14
err1
errOAAI
errSingh, Sukriti; Hernandez-Lobato, Jose Miguel
err分享
err收藏
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images在多实例学习中引入实例标签相关性。组织病理学图像在癌症检测中的应用
errPATTERN RECOGNITION
IF7.6
err2024-02-01
err5
errOAAI
errMorales-Alvarez, Pablo; Schmidt, Arne; Hernandez-Lobato, Jose Miguel; Molina, Rafael
err分享
err收藏
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2022-07-18
err49
errOAAI
errGarcia-Ortegon, Miguel; Simm, Gregor N. C.; Tripp, Austin J.; Hernandez-Lobato, Jose Miguel; Bender, Andreas; Bacallado, Sergio
err分享
err收藏
Combining deep generative and discriminative models for Bayesian semi-supervised learning
errPATTERN RECOGNITION
IF7.6
err2020-04-01
err37
errOAAI
errGordon, Jonathan; Hernandez-Lobato, Jose Miguel
err分享
err收藏
Constrained Bayesian optimization for automatic chemical design using variational autoencoders使用变分自动编码器进行自动化学设计的约束贝叶斯优化
errCHEMICAL SCIENCE
IF7.4
err2020-01-01
err222
errOAAI
errGriffiths, Ryan-Rhys; Hernandez-Lobato, Jose Miguel
err分享
err收藏
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules使用数据驱动的分子连续表示的自动化学设计
errACS CENTRAL SCIENCE
IF10.4
err2018-01-12
err2.5K
errOAAI
errGomez-Bombarelli, Rafael; Wei, Jennifer N.; Duvenaud, David; Hernandez-Lobato, Jose Miguel; Sanchez-Lengeling, Benjamin; Sheberla, Dennis; Aguilera-Iparraguirre, Jorge; Hirzel, Timothy D.; Adams, Ryan P.; Aspuru-Guzik, Alan
err分享
err收藏
Expectation propagation in linear regression models with spike-and-slab priors
errMACHINE LEARNING
IF2.9
err2014-12-10
err53
errOAAI
errMiguel Hernandez-Lobato, Jose; Hernandez-Lobato, Daniel; Suarez, Alberto
err分享
err收藏
Network-based sparse Bayesian classification
errPATTERN RECOGNITION
IF7.6
err2011-04-01
err13
PREAI
errMiguel Hernandez-Lobato, Jose; Hernandez-Lobato, Daniel; Suarez, Alberto
err分享
err收藏
Expectation Propagation for microarray data classification
errPATTERN RECOGNITION LETTERS
IF3.3
err2010-09-01
err22
PREAI
errHernandez-Lobato, Daniel; Hernandez-Lobato, Jose Miguel; Suarez, Alberto
err分享
err收藏
Bayes Machines for binary classification
errPATTERN RECOGNITION LETTERS
IF3.3
err2008-07-01
err5
PREAI
errHernandez-Lobato, Daniel; Hernandez-Lobato, Jose Miguel
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
A
Alán Aspuru‐Guzik
H 指数: 114 · 论文数: 936
A
Andreas Bender
H 指数: 70 · 论文数: 542
R
Rafael Molina
H 指数: 56 · 论文数: 498
J
Jeremy S. Luterbacher
H 指数: 48 · 论文数: 174
R
Rafael Gómez‐Bombarelli
H 指数: 42 · 论文数: 283
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