Roger Wattenhofer

Venues

Frequent coauthors

Papers

1. Benchmarking Positional Encodings for GNNs and Graph Transformers
   SIGKDD 2026 ·

   Florian Grötschla

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2. Steering Pretrained Drafters During Speculative Decoding
   AAAI 2026 ·

   Frédéric Berdoz

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3. Text-to-Scene with Large Reasoning Models
   AAAI 2026 ·

   Frédéric Berdoz

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4. ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting
   ACL 2025 ·

   Steven H. Wang

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5. Byzantine Game Theory: Sun Tzu's Boxes
   AAMAS 2025 ·

   Andrei Constantinescu

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6. Condorcet Winners and Anscombe's Paradox Under Weighted Binary Voting
   AAMAS 2025 ·

   Carmel Baharav

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7. EuroSpeech: A Multilingual Speech Corpus
   NeurIPS 2025 ·

   Samuel Pfisterer

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8. ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models
   NeurIPS 2025 ·

   Duy M. H. Nguyen

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9. FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
   AAMAS 2025 ·

   Flint Xiaofeng Fan

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10. How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
    NeurIPS 2025 ·

    Tuan Anh Tran

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11. Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
    NeurIPS 2025 ·

    Shakir Yousefi

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12. Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications
    IJCAI 2025 ·

    Frédéric Berdoz

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13. SAO-Instruct: Free-form Audio Editing using Natural Language Instructions
    NeurIPS 2025 ·

    Michael Ungersböck

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14. Scalable Evaluation and Neural Models for Compositional Generalization
    NeurIPS 2025 ·

    Giacomo Camposampiero

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15. Text Compression for Efficient Language Generation
    NAACL 2025 ·

    David Gu

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16. Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
    NeurIPS 2024 ·

    Frédéric Berdoz

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17. CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
    ICLR 2024 ·

    Florian Grötschla

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18. Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
    AAMAS 2024 ·

    Philip Jordan

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19. Efficient and Scalable Graph Generation through Iterative Local Expansion
    ICLR 2024 ·

    Andreas Bergmeister

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20. GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
    ICLR 2024 ·

    Peter Müller

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21. GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs
    ECAI 2024 ·

    Florian Grötschla

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22. PUZZLES: A Benchmark for Neural Algorithmic Reasoning
    NeurIPS 2024 ·

    Benjamin Estermann

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23. Provably Powerful Graph Neural Networks for Directed Multigraphs
    AAAI 2024 ·

    Béni Egressy

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24. SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
    ECAI 2024 ·

    Nathan Corecco

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25. UltraSparseBERT: 99% Conditionally Sparse Language Modelling
    ACL 2024 ·

    Peter Belcak

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