• Martin Brandt, Compton J. Tucker, Ankit Kariryaa, Kjeld Rasmussen, Christin Abel, Jennifer Small, Jerome Chave, Laura Vang Rasmussen, Pierre Hiernaux, Abdoul Aziz Diouf, Laurent Kergoat, Ole Mertz, Christian Igel, Fabian Gieseke, Johannes Schöning, Sizhuo Li, Katherine Melocik, Jesse Meyer, Scott Sinno, Eric Romero, Erin Glennie, Amandine Montagu, Morgane Dendoncker, and Rasmus Fensholt. An unexpectedly large count of trees in the western Sahara and Sahel. Nature, 2020.
• Oswin Krause, Asja Fischer, and Christian Igel. Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines. Artificial Intelligence & International Joint Conferences on Artificial Intelligence (IJCAI), 2020.
• Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling. SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows. In Advances in Neural Information Processing Systems (NeurIPS), 2020. (oral)
• Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel, Yevgeny Seldin. Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. In Advances in Neural Information Processing Systems (NeurIPS), 2020. (spotlight)
• Steffen Czolbe, Oswin Krause, Ingemar Cox, and Christian Igel. A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. In Advances in Neural Information Processing Systems (NeurIPS), 2020.
• Valentin Liévin, Andrea Dittadi, Anders Christensen, Ole Winther. Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds. In Advances in Neural Information Processing Systems (NeurIPS), 2020.
• Elias Najarro, Sebastian Risi. Meta-Learning through Hebbian Plasticity in Random Networks. In Advances in Neural Information Processing Systems (NeurIPS), 2020.
• Didrik Nielsen, Ole Winther. Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow. In Advances in Neural Information Processing Systems (NeurIPS), 2020.
• Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song. Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. In Advances in Neural Information Processing Systems (NeurIPS), 2020.
• Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari. Robust, Accurate Stochastic Optimization for Variational Inference. In Advances in Neural Information Processing Systems (NeurIPS), 2020.
• Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein. A Diagnostic Study of Explainability Techniques for Text Classification. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
• Pepa Atanasova*, Dustin Wright*, Isabelle Augenstein. Generating Label Cohesive and Well-Formed Adversarial Claims. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
• Dustin Wright, Isabelle Augenstein. Transformer Based Multi-Source Domain Adaptation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
• Johannes Bjerva*, Nikita Bhutani*, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein. SubjQA: A Dataset for Subjectivity and Review Comprehension. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
• Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein. Zero-Shot Cross-Lingual Transfer with Meta Learning. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
• Dustin Wright, Isabelle Augenstein. Claim Check-Worthiness Detection as Positive Unlabelled Learning. In Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
• Anna Rogers, Isabelle Augenstein. What Can We Do to Improve Peer Review in NLP?. In Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
• Jeppe Thagaard , Søren Hauberg , Bert van der Vegt , Thomas Ebstrup Johan D. Hansen, Anders B. Dahl. Can you trust predictive uncertainty under real dataset shifts in digital pathology? In 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
• Lasse Borgholt, Jakob Drachmann Havtorn, Željko Agić, Anders Søgaard, Lars Maaløe, and Christian Igel. Do End-to-End Speech Recognition Models Care About Context? INTERSPEECH, 2020.
• Julian Zimmert, Yevgeny Seldin. An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
• Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, and Christian Igel. Label-similarity Curriculum Learning. European Conference on Computer Vision (ECCV), 2020.
• Dimitris Kalatzis, David Eklund, Georgios Arvanitidis and Søren Hauberg. Variational Autoencoders with Riemannian Brownian Motion Priors. In International Conference on Machine Learning (ICML), 2020.
• Chloé Rouyer, Yevgeny Seldin. Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits. In Proceedings of the Conference on Learning Theory (COLT), 2020.
• Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, and Javier Civera. Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (oral)
• Petr Taborsky, Laurent Vermue, Maciej Korzepa, Morten Morup. The Bayesian Cut. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

Contact ELLIS Unit Copenhagen board
 

• Tommy Sonne Alstrøm, Associate Professor, DTU, Member
• Tobias Andersen, Associate Professor, DTU, Member
• Michael Riis Andersen, Associate Professor, DTU, Member
• Georgios Arvanitidis, Assistant Professor, DTU, Member
• Isabelle Augenstein, Associate professor, KU, Scholar
• Maria Barrett, Postdoc, ITU
• Serge Belongie, Professor, KU, Fellow
• Wouter Boomsma, Associate Professor, KU, Member
• Sami Brandt, Associate Professor, ITU
• Line Harder Clemmesen, Associate Professor, DTU, Member
• Leon Derczynski, Assistant professor, ITU
• Desmond Elliott, Assistant professor, KU, Member
• Aasa Feragen, Professor, DTU
• Jes Frellsen, Associate Professor, DTU, Member
• Fabian Gieseke, Assistant Professor , KU
• Dan Witzner Hansen, Associate Professor, ITU
• Lars Kai Hansen, Professor, DTU, Fellow
• Søren Hauberg, Professor, DTU, Scholar
• Daniel Hershcovich, Assistant Professor, KU, Member
• Christian Igel, Professor, KU, Fellow
• Rune Møller Jensen, Associate Professor, ITU
• Bjørn Sand Jensen, DTU, Member
• Robert Jenssen, Professor, UiT and UK, Member
• Martin Jönsson, Assistant Professor, KU
• Oswin Krause, Assistant professor, KU
• Anders Krogh, Professor, KU, Member
• Christina Lioma, Professor, KU
• Morten Mørup, Professor, DTU, Member
• Hiba Nassar, Assistant Professor, DTU, Member
• Finn Årup Nielsen, Associate Professor, DTU Member
• Mads Nielsen, Professor, KU
• Dimitrios Papadopoulos, Assistant Professor, DTU
• Francisco Câmara Pereira, Professor, DTU, Member
• Jonas Martin Peters, Professor, KU, Scholar
• Niklas Andreas Pfister, Assistant Professor, KU
• Sebastian Risi, Professor, ITU, Member
• Mikkel Nørgaard Schmidt, Associate Professor, DTU, Member
• Yevgeny Seldin, Associate professor, KU, Member
• Anders Søgaard, Professor, KU
• Sebastian Weichwald, KU, Member
• Ole Winther, Professor, KU and DTU, Fellow