Poster Sessions

Registered posters include:

1. Transition Constrained Bayesian Optimization via Markov Decision Processes
   Jose Pablo Folch, Calvin Tsay, Robert M Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný
2. Transductive Active Learning: Theory and Applications
   Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
3. MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
   Hao Dong, Yue Zhao, Eleni Chatzi, Olga Fink
   
4. Confidence Regulation Neurons in Language Models
   Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
   
5. Contextual Bilevel Reinforcement Learning for Incentive Alignment
   Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu
6. Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
   Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern Menze
7. FUSE: Fast Unified Simulation and Estimation for PDEs
   Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
8. Components Beat Patches: Eigenvector Masking from Visual Representation Learning
   Alice Bizeul, Thomas M. Sutter, Alain Ryser, Julius von Kugelgen, Bernhard Scholkopf, Julia E. Vogt
9. An Adversarial Perspective on Machine Unlearning for AI Safety
   Jakub Łucki, Boyi Wei, Yangsibo Huang, Peter Henderson, Florian Tramèr, Javier Rando
10. AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
    Edoardo Debenedetti, Jie Zhang, Mislav Balunović, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr
11. Poseidon: Efficient Foundation Models for PDEs
    Maximilian Herde, Bogdan Raonić, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel de Bézenac, Siddhartha Mishra
12. Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
    Bingcong Li, Liang Zhang, Niao He
13. Super Consistency of Neural Network's Landscape and Learning Rate Transfer
    Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto
14. Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
    Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
    
15. Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
    Frédéric Berdoz, Roger Wattenhofer
16. Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
    Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
17. Towards Foundation Models for Critical Care Time Series
    Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch
18. Variational Best-of-N Alignment
    Afra Amini, Tim Vieira, Ryan Cotterell
19. Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks
    Lucia Pezzetti, Stefano Favaro, Stefano Peluchetti
20. Conditional Hallucinations for Image Compression
    Till Aczel, Roger Wattenhofer
21. Quantifying and Estimating the Predictability Upper Bound of Univariate Numeric Time Series
    Jamal Mohammed, Michael H. Böhlen, Sven Helmer
22. Exploring Human Curiosity and Behavior from Natural Queries
    Roberto Ceraolo, Dmitrii Kharlapenko, Ahmad Khan, Amélie Reymond, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan, Zhijing Jin