• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 40 matches

• 2022
• 
  Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov:
  GradMax: Growing Neural Networks using Gradient Information. ICLR 2022
• 
  Utku Evci, Max Vladymyrov, Thomas Unterthiner, Bart van Merriënboer, Fabian Pedregosa:
  GradMax: Growing Neural Networks using Gradient Information. CoRR abs/2201.05125 (2022)
• 
  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:
  Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations. CoRR abs/2205.08306 (2022)
• 2021
• 
  Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner:
  Differentiable Patch Selection for Image Recognition. CVPR 2021: 2351-2360
• 
  Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit:
  Understanding Robustness of Transformers for Image Classification. ICCV 2021: 10211-10221
• 
  Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby:
  An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. ICLR 2021
• 
  Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy:
  Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS 2021: 12116-12128
• 
  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:
  MLP-Mixer: An all-MLP Architecture for Vision. NeurIPS 2021: 24261-24272
• 
  Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit:
  Understanding Robustness of Transformers for Image Classification. CoRR abs/2103.14586 (2021)
• 
  Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner:
  Differentiable Patch Selection for Image Recognition. CoRR abs/2104.03059 (2021)
• 
  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:
  MLP-Mixer: An all-MLP Architecture for Vision. CoRR abs/2105.01601 (2021)
• 
  Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy:
  Do Vision Transformers See Like Convolutional Neural Networks? CoRR abs/2108.08810 (2021)
• 2020
• 
  Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
  Object-Centric Learning with Slot Attention. NeurIPS 2020
• 
  Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya O. Tolstikhin:
  Predicting Neural Network Accuracy from Weights. CoRR abs/2002.11448 (2020)
• 
  Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
  Object-Centric Learning with Slot Attention. CoRR abs/2006.15055 (2020)
• 
  Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby:
  An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. CoRR abs/2010.11929 (2020)
• 2019
• 
  Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly:
  FVD: A new Metric for Video Generation. DGS@ICLR 2019
• 
  Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter:
  RUDDER: Return Decomposition for Delayed Rewards. NeurIPS 2019: 13544-13555
• 
  Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler:
  Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation. Explainable AI 2019: 285-296
• 
  Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner:
  Interpretable Deep Learning in Drug Discovery. Explainable AI 2019: 331-345
• 
  Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner:
  Interpretable Deep Learning in Drug Discovery. CoRR abs/1903.02788 (2019)
• 2018
• 
  Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer:
  Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery. J. Chem. Inf. Model. 58(9): 1736-1741 (2018)
• 
  Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter:
  Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. ICLR (Poster) 2018
• 
  Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter:
  First Order Generative Adversarial Networks. ICML 2018: 4574-4583
• 
  Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter:
  First Order Generative Adversarial Networks. CoRR abs/1802.04591 (2018)
• 
  Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer:
  Fréchet ChemblNet Distance: A metric for generative models for molecules. CoRR abs/1803.09518 (2018)
• 
  Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter:
  RUDDER: Return Decomposition for Delayed Rewards. CoRR abs/1806.07857 (2018)
• 
  Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly:
  Towards Accurate Generative Models of Video: A New Metric & Challenges. CoRR abs/1812.01717 (2018)
• 2017
• 
  Djork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, Sepp Hochreiter:
  Rectified factor networks for biclustering of omics data. Bioinform. 33(14): i59-i66 (2017)
• 
  Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter:
  GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. NIPS 2017: 6626-6637

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