Thomas Unterthiner

Scopus Author ID ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 2

Top Topics

Body Composition

Convolutional Neural Network

Top Venues

Science advances

Chemical science

This page only lists publications with an associated author ORCID identifier.

Publications

Oliver T Unke, Martin Stöhr, Stefan Ganscha, Thomas Unterthiner, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger, Leonardo Medrano Sandonas, Joshua T Berryman, Alexandre Tkatchenko, Klaus-Robert Müller
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments. Science advances 10 (14) (2024)
Andreas Mayr, Guenter Klambauer, Thomas Unterthiner, Marvin Steijaert, Joerg Kurt Wegner, Hugo Ceulemans, Djork-Arné Clevert, Sepp Hochreiter
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL. Chemical science 9 (24) (2018)