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| Communication Systems | view publications | |
| Computer Engineering | view publications | |
| Distributed Computing | view publications | |
| Networked Systems | view publications |
Wildcards '%' matches any number of characters, '_' matches one.
2026 |
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Florian Grötschla, Jiaqing Xie and Roger Wattenhofer : Benchmarking Positional Encodings for GNNs and Graph Transformers 32th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Jeju, South Korea, August 2026. Inproceedings [Details] [BibTeX] |
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Saku Peltonen and Roger Wattenhofer: On the Expressive Power of GNNs for Boolean Satisfiability 14th International Conference on Learning Representations (ICLR) Rio de Janeiro, Brazil, April 2026. Inproceedings [Details] [BibTeX] [External Link] [Paper as PDF] |
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Frédéric Berdoz, Luca Lanzendörfer, Kaan Bayraktar and Roger Wattenhofer: Data Attribution in Large Language Models via Bidirectional Gradient Optimization Third International AI Governance Workshop (AIGOV@AAAI) Singapore, January 2026. Inproceedings [Details] [BibTeX] [Paper as PDF] |
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Frédéric Berdoz, Luca Lanzendörfer, Nick Tuninga and Roger Wattenhofer: Text-to-Scene with Large Reasoning Models 40th Conference on Artificial Intelligence (AAAI) Singapore, January 2026. Inproceedings [Details] [BibTeX] [Paper as PDF] |
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Frédéric Berdoz, Peer Rheinboldt and Roger Wattenhofer: Steering Pretrained Drafters during Speculative Decoding 40th Conference on Artificial Intelligence (AAAI) Singapore, January 2026. Inproceedings [Details] [BibTeX] [Paper as PDF] |
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Marc Dufay and Roger Wattenhofer: A Deterministic Polylogarithmic Competitive Algorithm for Matching with Delays ACM-SIAM Symposium on Discrete Algorithms (SODA) Vancouver, Canada, January 2026. Inproceedings [Details] [BibTeX] [Paper as PDF] |
2025 |
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Joël Mathys and Roger Wattenhofer: A New Perspective for Graph Learning Architecture Design: Linearize Your Depth Away New Perspectives in Graph Machine Learning Workshop at NeurIPS San Diego, USA, December 2025. Article [Details] [BibTeX] [Paper as PDF] |
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Florian Grötschla, Elia Trachsel, Luca Lanzendörfer and Roger Wattenhofer: Inductive Transfer Learning for Graph-Based Recommenders New Perspectives in Graph Machine Learning Workshop at NeurIPS 2025 San Diego, California, USA, December 2025. Misc [Details] [BibTeX] [Paper as PDF] |
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Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian and Abbas Rahimi: I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models 5th Workshop on Mathematical Reasoning and AI (MATH-AI@NeurIPS) San Diego, California, USA, December 2025. Inproceedings [Details] [BibTeX] [Paper as PDF] |
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Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer and Abbas Rahimi: Scalable Evaluation and Neural Models for Compositional Generalization 39th Conference on Neural Information Processing Systems (NeurIPS) San Diego, California, USA, December 2025. Inproceedings [Details] [BibTeX] [Paper as PDF] |
