Thomas Unterthiner

Publications by Year

Research Areas

Advanced Neural Network Applications, Machine Learning in Materials Science, Computational Drug Discovery Methods, Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning

Most-Cited Works

• → An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale(2020)21,334 cited
• → GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium(2017)4,490 cited
• → Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)(2015)2,311 cited
• → MLP-Mixer: An all-MLP Architecture for Vision(2021)1,444 cited
• → DeepTox: Toxicity Prediction using Deep Learning(2016)1,008 cited
• → Large-scale comparison of machine learning methods for drug target prediction on ChEMBL(2018)589 cited
• → Self-Normalizing Neural Networks(2017)515 cited
• → Understanding Robustness of Transformers for Image Classification(2021)384 cited