Thomas Unterthiner - Concepedia

Author

Thomas Unterthiner

Johannes Kepler University of Linz ORCID

Also Known As

Lee, Gregory R., Moldovan, Teodor Mihai, Müller, Klaus-Robert, Rahimi, Ali, Rane, Sunayana, Thomas Unterthiner, Unterthiner, Thomas

Publications

41.5K

Citations

H-Index

Concepts

All Affiliations

Johannes Kepler University of Linz Google (United States)German Research Centre for Artificial Intelligence Dalle Molle Institute for Artificial Intelligence Research

About

Thomas Unterthiner is an author at Johannes Kepler University of Linz specializing in engineering, deep learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	21	21	28.1K
2	Business	2	2	52
3	Education	2	2	111
4	Medicine	2	2	125
5	Natural Sciences	1	1	89

Thomas Unterthiner

Publications

34.3K

Citations

H-Index

Page 1

	Year	Citations
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningImage RetrievalMultimodal Llm	2020	21.2K
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, arXiv (Cornell University)	2017	4.5K
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2015	2.3K
MLP-Mixer: An all-MLP Architecture for Vision Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, arXiv (Cornell University) Event CameraConvolutional Neural NetworkEngineeringMachine LearningImage Classification	2021	1.4K
DeepTox: Toxicity Prediction using Deep Learning Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Frontiers in Environmental Science	2016	984
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Chemical Science	2018	577
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, International Conference on Learning Representations Convolutional Neural NetworkEngineeringMachine LearningImage RetrievalMultimodal Llm	2021	556
Self-Normalizing Neural Networks Günter Klambauer, Thomas Unterthiner, Andreas Mayr, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2017	515
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Gläsner, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Convolutional Neural NetworkEngineeringMachine LearningRobust FeatureImage Classification	2021	378
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, arXiv (Cornell University) Artificial IntelligenceGenerative SystemEngineeringMachine LearningData Science	2017	371

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