LaCoCo Lab

ELLIS Sites ICML Fest 2026 at Saarbrücken, 2026

Information

WHEN: June 30, 2026, 10:00-13:00

WHERE: Building C7.4 at Saarland University Campus, Conference Room 1.17

This event is part of the ELLIS Sites ICML Fest 2026: Celebrate, Connect, Collaborate, associated with our ELLIS unit.

Program

Main Conference Presentations

Title Authors Presenter(s)
DAVE: Distribution-aware Attribution via ViT Gradient Decomposition Adam Wróbel, Siddhartha Gairola, Jacek Tabor, Bernt Schiele, Bartosz Zieliński, Dawid Rymarczyk Siddhartha Gairola
Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva Mathis Pink
On the Ability of Transformers to Verify Plans Yash Sarrof, Yupei Du, Katharina Stein, Alexander Koller, Sylvie Thiébaux, Michael Hahn Yash Sarrof
Fixed Aggregation Features Can Rival GNNs Celia Rubio-Madrigal, Rebekka Burkholz Celia Rubio-Madrigal
Robustness of Mixtures of Experts to Feature Noise Dong Sun, Rahul Nittala, Rebekka Burkholz Rahul Nittala
Off-Policy Evaluation with Strategic Agents via Local Disclosure Kiet Q. H. Vo, Abbavaram Gowtham Reddy, Julian Rodemann, Siu Lun Chau, Krikamol Muandet Kiet Q. H. Vo
SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training Mohammed Adnan, Rohan Jain, Tom Jacobs, Ekansh Sharma, Rahul G. Krishnan, Rebekka Burkholz, Yani Ioannou Tom Jacobs
Position: Safety Must Precede the Deployment of Open-Ended AI Agents Ivaxi Sheth, Jan Wehner, Sahar Abdelnabi, Ruta Binkyte, Mario Fritz Ivaxi Sheth
MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems Jonathan Nöther, Adish Singla, Goran Radanovic Jonathan Nöther
How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning Entang Wang, Yiwei Wang, Aleksandra Bakalova, Michael Hahn Entang Wang
ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior Florian Eichin, Yupei Du, Philipp Mondorf, Maria Matveev, Barbara Plank, Michael A. Hedderich Yupei Du
Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks Paulius Sasnauskas, Yiğit Yalın, Goran Radanović Yiğit Yalın
Certified Circuits: Stability Guarantees for Mechanistic Circuits Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz, Jonas Fischer Alaa Anani & Tobias Lorenz
Fast Reconstruction of Mixture of Bernoulli Distributions Sanyam Agarwal, Pranjal Dutta, Markus Bläser Sanyam Agarwal
Discovering Interpretable Algorithms by Decompiling Transformers to RASP Xinting Huang, Aleksandra Bakalova, Satwik Bhattamishra, William Merrill, Michael Hahn Michael Hahn

Workshop Presentations

Title Authors Presenter(s) Workshop
Linear GCNs Need Better Bias, Not More Expressive Power Celia Rubio-Madrigal, Rebekka Burkholz Celia Rubio-Madrigal Workshop on Graph Foundation Models: A New Era for Graph Machine Learning
Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer? Franka Bause, Jonas Niederle, Martin Pawelczyk, Rebekka Burkholz Jonas Niederle 2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents

Organizing Committee