← Authors

Roger Wattenhofer

35 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) πŸ—ΊοΈ Taxonomy Completionist (63) 🐣 Hot Topic Early Bird πŸ‘‘ Triple Crown 🧬 Topic Evolution 🌱 Topic Pioneer πŸ† Grand Slam πŸ”₯ Unstoppable (7) ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (33) ❓ The Questioner πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (145)

Conferences

ICLR (6) ACL (5) NIPS (5) AAAI (4) ICML (4) IJCAI (3) NAACL (3) EMNLP (2) COLING (1) EACL (1) IJCNLP (1)

Top co-authors

Karolis Martinkus (7) Zhao Meng (6) Damian Pascual (5) FrΓ©dΓ©ric Berdoz (4) Lukas Faber (3) Yunpu Ma (3) PΓ‘l AndrΓ‘s Papp (3) Peter Belcak (3) Gino Brunner (2) Beni Egressy (2)

Research topics

Mathematics (1)

Keywords

representation learning (4) graph neural network (3) sequence-to-sequence model (2) semantic similarity (2) multimodal learning (2) message passing (2) transformer model (2) visual commonsense (2) adversarial training (2) link prediction (1) embedding learning (1) text classification (1) puzzle solving (1) logical reasoning (1) image segmentation (1) embedding space (1) information retrieval (1) graph laplacian (1) zero-shot learning (1) knowledge representation (1)

Papers

Text-to-Scene with Large Reasoning Models AAAI 2026
Steering Pretrained Drafters During Speculative Decoding AAAI 2026
Text Compression for Efficient Language Generation NAACL 2025
Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications IJCAI 2025
ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting ACL 2025
Efficient and Scalable Graph Generation through Iterative Local Expansion ICLR 2024
UltraSparseBERT: 99% Conditionally Sparse Language Modelling ACL 2024
Provably Powerful Graph Neural Networks for Directed Multigraphs AAAI 2024
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks ICLR 2024
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies NIPS 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning NIPS 2024
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs ICLR 2024
DAVA: Disentangling Adversarial Variational Autoencoder ICLR 2023
DISCO-10M: A Large-Scale Music Dataset NIPS 2023
Agent-based Graph Neural Networks ICLR 2023
Neural Status Registers ICML 2023
Automating Rigid Origami Design IJCAI 2023
Voting in Two-Crossing Elections IJCAI 2022
FACT: Learning Governing Abstractions Behind Integer Sequences NIPS 2022
On Isotropy Calibration of Transformer Models ACL 2022
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations EMNLP 2022
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion ACL 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators ICML 2022
A Theoretical Comparison of Graph Neural Network Extensions ICML 2022
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications ICML 2022
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks NAACL 2022
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks NIPS 2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation ACL 2021
Telling BERT’s Full Story: from Local Attention to Global Aggregation EACL 2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation IJCNLP 2021
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities NAACL 2021
A Plug-and-Play Method for Controlled Text Generation EMNLP 2021
On Identifiability in Transformers ICLR 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples COLING 2020
High Dimensional Clustering with r-nets AAAI 2019