Accepted Papers
Accepted papers will be announced after the acceptance notification date (8 May 2026 for Proceedings and Workshop tracks, 1 April 2026 for Fast Track).
Please check back after these dates for the full list of accepted papers.
List of Papers
Note that only papers in the proceedings track are archived. Links to the PDFs to follow.
Proceedings Track
Coming Soon.
Workshop Track
Coming Soon.
Fast Track
Not archived.
| No. | Remark | Paper |
|---|---|---|
| 1 | Poster | From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner, Lorenz Richter, Marcin Sendera, Jarrid Rector-Brooks, Nikolay Malkin |
| 2 | Poster | JAPAN: Joint Adaptive Prediction Areas with Normalising-flows Eshant English, Christoph Lippert |
| 3 | Poster | Post-hoc Probabilistic Vision-Language Models Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp |
| 4 | Poster | Federated ADMM from Bayesian Duality Thomas Moellenhoff, Siddharth Swaroop, Finale Doshi-Velez, Mohammad Emtiyaz Khan |
| 5 | Poster | Amortising Inference and Meta-Learning Priors in Neural Networks Tommy Rochussen, Vincent Fortuin |
| 6 | Poster | Do-PFN: In-Context Learning for Causal Effect Estimation Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf |
| 7 | Poster | Anytime-valid, Bayes-assisted, Prediction-Powered Inference Valentin Kilian, Stefano Cortinovis, François Caron |
| 8 | Poster | In-Context Learning of Stochastic Differential Equations with Foundation Inference Models Patrick Seifner, Kostadin Cvejoski, David Berghaus, César Ali Ojeda Marin, Ramsés J. Sánchez |
| 9 | Poster | In-Context Learning of Temporal Point Processes with Foundation Inference Models David Berghaus, Patrick Seifner, Kostadin Cvejoski, Cesar Ojeda, Ramses J Sanchez |
| 10 | Poster | Amortized In-Context Mixed Effect Transformer Models: A Zero-Shot Approach for Pharmacokinetics Cesar Ojeda, Niklas Hartung, Wilhelm Huisinga, Ramses J Sanchez |
| 11 | Poster | On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors Julius Kobialka, Emanuel Sommer, Chris Kolb, Juntae Kwon, Daniel Dold, David Rügamer |
| 12 | Poster | A Continuous-Time Markov Chain Framework for Insertion Language Models Dhruvesh Patel, Benjamin Rozonoyer, Soumitra Das, Tahira Naseem, Tim G. J. Rudner, Andrew McCallum |
| 13 | Poster | Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation Bohan Wu, David Blei |