Thomas Unterthiner

47 papers A* 11Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aligning machine and human visual representations across abstraction levels.
Nat.
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2025 J jnl
Getting aligned on representational alignment.
Trans. Mach. Learn. Res.
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2024 J jnl
Aligning Machine and Human Visual Representations across Abstraction Levels.
CoRR
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2024 J jnl
PaliGemma: A versatile 3B VLM for transfer.
CoRR
Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai
2024 A* conf
Set Learning for Accurate and Calibrated Models.
ICLR
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
2023 J jnl
Getting aligned on representational alignment.
CoRR
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2023 J jnl
Set Learning for Accurate and Calibrated Models.
CoRR
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
2022 J jnl
Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations.
CoRR
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 A* conf
GradMax: Growing Neural Networks using Gradient Information.
ICLR
Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov
2022 J jnl
GradMax: Growing Neural Networks using Gradient Information.
CoRR
Utku Evci, Max Vladymyrov, Thomas Unterthiner, Bart van Merriënboer, Fabian Pedregosa
2021 A* conf
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
ICLR
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
2021 A* conf
Differentiable Patch Selection for Image Recognition.
CVPR
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
2021 J jnl
Differentiable Patch Selection for Image Recognition.
CoRR
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
2021 A* conf
Do Vision Transformers See Like Convolutional Neural Networks?
NeurIPS
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
2021 J jnl
Do Vision Transformers See Like Convolutional Neural Networks?
CoRR
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
2021 A* conf
MLP-Mixer: An all-MLP Architecture for Vision.
NeurIPS
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
2021 J jnl
MLP-Mixer: An all-MLP Architecture for Vision.
CoRR
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
2021 A* conf
Understanding Robustness of Transformers for Image Classification.
ICCV
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
2021 J jnl
Understanding Robustness of Transformers for Image Classification.
CoRR
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
2020 J jnl
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
CoRR
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
2020 A* conf
Object-Centric Learning with Slot Attention.
NeurIPS
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
2020 J jnl
Object-Centric Learning with Slot Attention.
CoRR
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
2020 J jnl
Predicting Neural Network Accuracy from Weights.
CoRR
Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya O. Tolstikhin
2019 — conf
FVD: A new Metric for Video Generation.
DGS@ICLR
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
2019 J jnl
Interpretable Deep Learning in Drug Discovery.
CoRR
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2019 — ch.
Interpretable Deep Learning in Drug Discovery.
Explainable AI
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2019 A* conf
RUDDER: Return Decomposition for Delayed Rewards.
NeurIPS
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter
2019 — ch.
Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation.
Explainable AI
Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler
2018 — conf
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields.
ICLR (Poster)
Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
2018 A* conf
First Order Generative Adversarial Networks.
ICML
Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter
2018 J jnl
First Order Generative Adversarial Networks.
CoRR
Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter
2018 J jnl
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery.
J. Chem. Inf. Model.
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
2018 J jnl
Fréchet ChemblNet Distance: A metric for generative models for molecules.
CoRR
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
2018 J jnl
RUDDER: Return Decomposition for Delayed Rewards.
CoRR
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
2018 J jnl
Towards Accurate Generative Models of Video: A New Metric & Challenges.
CoRR
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
2017 J jnl
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields.
CoRR
Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
2017 — conf
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.
NIPS
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter
2017 J jnl
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium.
CoRR
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
2017 J jnl
Rectified factor networks for biclustering of omics data.
Bioinform.
Djork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, Sepp Hochreiter
2017 — conf
Self-Normalizing Neural Networks.
NIPS
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2017 J jnl
Self-Normalizing Neural Networks.
CoRR
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2016 A* conf
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).
ICLR (Poster)
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter
2015 J jnl
Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.
Bioinform.
Günter Klambauer, Martin Wischenbart, Michael Mahr, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2015 — conf
Rectified Factor Networks.
NIPS
Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter
2015 J jnl
Rectified Factor Networks.
CoRR
Djork-Arné Clevert, Thomas Unterthiner, Andreas Mayr, Hubert Ramsauer, Sepp Hochreiter
2015 J jnl
Toxicity Prediction using Deep Learning.
CoRR
Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter
2011 J jnl
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown.
BMC Bioinform.
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bulla, Burkhard Morgenstern, Mario Stanke, Ingo Bulla