Roger Wattenhofer
35 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
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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
Research topics
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 BERTβs 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