Sergio Bacallado

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 6

Top Topics

Matrix Completion

Machine Learning

Rank Aggregation

Biologically Plausible

Top Venues

J. Chem. Inf. Model.

Publications

Austin Tripp, Sergio Bacallado, Sukriti Singh, José Miguel Hernández-Lobato
Tanimoto Random Features for Scalable Molecular Machine Learning. CoRR (2023)
Austin Tripp, Sergio Bacallado, Sukriti Singh, José Miguel Hernández-Lobato
Tanimoto Random Features for Scalable Molecular Machine Learning. NeurIPS (2023)
Miguel García-Ortegón, Gregor N. C. Simm, Austin J. Tripp, José Miguel Hernández-Lobato, Andreas Bender, Sergio Bacallado
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design. J. Chem. Inf. Model. 62 (15) (2022)
Miguel Garcia-Ortegon, Andreas Bender, Sergio Bacallado
Conditional Neural Processes for Molecules. CoRR (2022)
Miguel García-Ortegón, Gregor N. C. Simm, Austin J. Tripp, José Miguel Hernández-Lobato, Andreas Bender, Sergio Bacallado
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design. CoRR (2021)
Annie Marsden, Sergio Bacallado
Sequential Matrix Completion. CoRR (2017)
Sergio Bacallado, Persi Diaconis, Susan P. Holmes
de Finetti Priors using Markov chain Monte Carlo computations. Stat. Comput. 25 (4) (2015)