11 ELLIS Units across Europe, a total of 230 posters presented, 152 NeurIPS posters, and about 900 participants. Numerous lively discussions about the latest cutting-edge AI research in the run up to the NeurIPS conference taking place in New Orleans (USA) this week - one of the most important annual events for the global machine learning community - ELLIS units across Europe organized poster sessions to showcase and discuss conference contributions from the ELLIS network and the units’ local research environments.
ELLIS units connect outstanding AI researchers at a certain location and fulfill a set of strict criteria to ensure scientific excellence. Getting a paper accepted at the NeurIPS conference is an important recognition for any scientist in the field of machine learning. To warm up for the event in New Orleans and to foster exchange among peers, members of 11 ELLIS units in different countries presented their NeurIPS contributions during poster sessions in the week before the conference. Scientists from the units’ local research environments were invited to participate with posters as well which provided an opportunity for networking and numerous fruitful discussions.
Event at the ELLIS Unit Tübingen
On December 5, the ELLIS Institute Tübingen hosted the "Tübingen Pre-NeurIPS Fest", a poster session that showcased the NeurIPS contributions of scientists working in the Tübingen AI community. The event was organised jointly with the Tübingen AI Center and the Cluster of Excellence “Machine Learning - New Perspectives for Science”.
All the posters presented had one or more ELLIS members as authors. See also the list of the posters presented at the event, with the ELLIS members highlighted in the list of authors.
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Poster Title |
List of Authors (ELLIS members in bold) |
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Liang Wendong, Armin Kekić, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf |
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Cansu Sancaktar, Justus Piater, Georg Martius |
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Alexandre Marthe, Aurélien Garivier, Claire Vernade |
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Tankred Saanum, Noemi Elteto, Peter Dayan, Marcel Binz, Eric Schulz |
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RDumb: A simple approach that questions our progress in continual test-time adaptation |
Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge |
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Pavel Kolev, Georg Martius, Michael Muehlebach |
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Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities |
Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius |
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Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel |
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Roland S. Zimmermann, Thomas Klein, Wieland Brendel |
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Controlling Text-to-Image Diffusion by Orthogonal Finetuning |
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf |
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In-Context Impersonation Reveals Large Language Models' Strengths and Biases |
Leonard Salewski, Isabel Rio-Torto, Stephan Alaniz, Eric Schulz, Zeynep Akata |
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Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images |
Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein |
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Laurence Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato |
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Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane, Matthias Bethge, Efstratios Gavves |
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Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation |
Richard Gao, Michael Deistler, Jakob H Macke |
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Maximilian Dax, Jonas Wildberger, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf |
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URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates |
Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Enkelejda Kasneci |