Thomas Unterthiner

Researcher, Google

Joined

September 2016

Names

Thomas Unterthiner (Preferred)

Emails

****@bioinf.jku.at (Confirmed)

****@google.com (Confirmed)

****@pm.me (Confirmed)

****@ml.jku.at (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2019 – Present

PhD student

Johannes Kepler University Linz (jku.at)

2012 – 2019

Advisors, Relations & Conflicts

Coauthor

Sjoerd van Steenkiste

2019 – 2019

PhD Advisor

Sepp Hochreiter

2012 – 2019

Expertise

Machine Learning

2012 – Present

Deep Learning

2012 – Present

Bioinformatics

2012 – 2019

Publications

Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby et al. (13 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
DeepTox: Toxicity Prediction using Deep Learning
Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Sepp Hochreiter
- Frontiers in Environmental Science
- Readers: Everyone
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Marvin Steijaert, Jörg K. Wegner, Hugo Ceulemans, Djork-Arné Clevert, Sepp Hochreiter
- Chemical science
- Readers: Everyone
Understanding Robustness of Transformers for Image Classification
Daniel Glasner, Srinadh Bhojanapalli, Ayan Chakrabarti, Daliang Li, Thomas Unterthiner, Andreas Veit
- 13 Nov 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus Robert Muller
- ICLR 2024 poster
- Readers: Everyone
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
- Published: 01 Jan 2023, Last Modified: 02 Oct 2023
- CoRR 2023
- Readers: Everyone
Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations
Oliver T. Unke, Martin Stöhr, Stefan Ganscha, Thomas Unterthiner, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger, Leonardo Medrano Sandonas, Alexandre Tkatchenko, Klaus-Robert Müller
- 2022 (modified: 11 Apr 2023)
- CoRR 2022
- Readers: Everyone
GradMax: Growing Neural Networks using Gradient Information
Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov
- 2022 (modified: 24 Apr 2023)
- ICLR 2022
- Readers: Everyone
GradMax: Growing Neural Networks using Gradient Information
Utku Evci, Max Vladymyrov, Thomas Unterthiner, Bart van Merriënboer, Fabian Pedregosa
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
GradMax: Growing Neural Networks using Gradient Information
Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone

View all 51 publications

Co-Authors

View all 110 co-authors