Wattenhofer, Roger

54 publications

NeurIPS 2025 EuroSpeech: A Multilingual Speech Corpus Samuel Pfisterer, Florian Grötschla, Luca A Lanzendörfer, Florian Yan, Roger Wattenhofer
NeurIPS 2025 ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models Duy Minh Ho Nguyen, Nghiem Tuong Diep, Trung Quoc Nguyen, Hoang-Bao Le, Tai Nguyen, Anh-Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, Daniel Sonntag, James Zou, Mathias Niepert
NeurIPS 2025 How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? Tuan Anh Tran, Duy Minh Ho Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D Doan, Roger Wattenhofer, Vien Anh Ngo, Mathias Niepert, Daniel Sonntag, Paul Swoboda
NeurIPS 2025 Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks Shakir Yousefi, Andreas Plesner, Till Aczel, Roger Wattenhofer
ICLRW 2025 Reasoning Effort and Problem Complexity: A Scaling Analysis in LLMs Benjamin Estermann, Roger Wattenhofer
IJCAI 2025 Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications Frédéric Berdoz, Dustin Brunner, Yann Vonlanthen, Roger Wattenhofer
NeurIPS 2025 SAO-Instruct: Free-Form Audio Editing Using Natural Language Instructions Michael Ungersböck, Florian Grötschla, Luca A Lanzendörfer, June Young Yi, Changho Choi, Roger Wattenhofer
NeurIPS 2025 Scalable Evaluation and Neural Models for Compositional Generalization Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi
ICLRW 2025 Synthetic Data for Blood Vessel Network Extraction Joël Mathys, Andreas Plesner, Jorel Elmiger, Roger Wattenhofer
NeurIPSW 2024 BLAP: Bootstrapping Language-Audio Pre-Training for Music Captioning Luca A Lanzendörfer, Constantin Pinkl, Nathanaël Perraudin, Roger Wattenhofer
NeurIPSW 2024 Benchmarking Music Generation Models and Metrics via Human Preference Studies Ahmet Solak, Florian Grötschla, Luca A Lanzendörfer, Roger Wattenhofer
ICLRW 2024 Bridging Diversity and Uncertainty in Active Learning with Self-Supervised Pre-Training Paul Doucet, Benjamin Estermann, Till Aczel, Roger Wattenhofer
NeurIPS 2024 Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies Frédéric Berdoz, Roger Wattenhofer
ICLR 2024 CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs Florian Grötschla, Joël Mathys, Robert Veres, Roger Wattenhofer
NeurIPSW 2024 Coarse-to-Fine Text-to-Music Latent Diffusion Luca A Lanzendörfer, Tongyu Lu, Nathanaël Perraudin, Dorien Herremans, Roger Wattenhofer
NeurIPSW 2024 Conditional Hallucinations for Image Compression Till Aczel, Roger Wattenhofer
NeurIPSW 2024 Contrastive Lyrics Alignment with a Timestamp-Informed Loss Timon Kick, Florian Grötschla, Luca A Lanzendörfer, Roger Wattenhofer
ICLR 2024 Efficient and Scalable Graph Generation Through Iterative Local Expansion Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
NeurIPSW 2024 Generating Vocals from Lyrics and Musical Accompaniment Georg Streich, Luca A Lanzendörfer, Florian Grötschla, Roger Wattenhofer
ICLR 2024 GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
NeurIPSW 2024 Leveraging Pre-Trained LMs for Rapid and Accurate Structure Elucidation from 2D NMR Data Susanna Di Vita, Florian Grötschla, Luca A Lanzendörfer, Roger Wattenhofer
NeurIPSW 2024 Neural Audio Codec for Latent Music Representations Luca A Lanzendörfer, Florian Grötschla, Amir Dellali, Roger Wattenhofer
NeurIPS 2024 PUZZLES: A Benchmark for Neural Algorithmic Reasoning Benjamin Estermann, Luca A. Lanzendörfer, Yannick Niedermayr, Roger Wattenhofer
AAAI 2024 Provably Powerful Graph Neural Networks for Directed Multigraphs Béni Egressy, Luc von Niederhäusern, Jovan Blanusa, Erik R. Altman, Roger Wattenhofer, Kubilay Atasu
NeurIPSW 2024 Rethinking Message Passing for Algorithmic Alignment Joël Mathys, Florian Grötschla, Kalyan Varma Nadimpalli, Roger Wattenhofer
ICLRW 2024 SUPClust: Active Learning at the Boundaries Yuta Ono, Till Aczel, Benjamin Estermann, Roger Wattenhofer
CVPRW 2023 Abstract Visual Reasoning Enabled by Language Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer
ICLR 2023 Agent-Based Graph Neural Networks Karolis Martinkus, Pál András Papp, Benedikt Schesch, Roger Wattenhofer
IJCAI 2023 Automating Rigid Origami Design Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer
ICLR 2023 DAVA: Disentangling Adversarial Variational Autoencoder Benjamin Estermann, Roger Wattenhofer
NeurIPS 2023 DISCO-10M: A Large-Scale Music Dataset Luca Lanzendörfer, Florian Grötschla, Emil Funke, Roger Wattenhofer
NeurIPSW 2023 Efficient Multimodal Alignment: To Freeze or Not to Freeze? Till Aczel, Roger Wattenhofer
ICMLW 2023 GraphChef: Learning the Recipe of Your Dataset Peter Müller, Lukas Faber, Karolis Martinkus, Roger Wattenhofer
LoG 2023 GwAC: GNNs with Asynchronous Communication Lukas Faber, Roger Wattenhofer
ICML 2023 Neural Status Registers Lukas Faber, Roger Wattenhofer
LoG 2023 SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer
ICMLW 2023 Siamese SIREN: Audio Compression with Implicit Neural Representations Luca A Lanzendörfer, Roger Wattenhofer
ICLRW 2023 Towards Foundation Models with Mathematical Understanding Peter Belcak, Roger Wattenhofer
ICML 2022 A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications Lukas Wolf, Ard Kastrati, Martyna B Plomecka, Jie-Ming Li, Dustin Klebe, Alexander Veicht, Roger Wattenhofer, Nicolas Langer
ICML 2022 A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp, Roger Wattenhofer
NeurIPSW 2022 Agent-Based Graph Neural Networks Karolis Martinkus, Pál András Papp, Benedikt Schesch, Roger Wattenhofer
NeurIPSW 2022 Diffusion Models for Graphs Benefit from Discrete State Spaces Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
NeurIPSW 2022 Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation Ard Kastrati, Martyna Beata Plomecka, Joël Küchler, Nicolas Langer, Roger Wattenhofer
NeurIPS 2022 FACT: Learning Governing Abstractions Behind Integer Sequences Peter Belcak, Ard Kastrati, Flavio Schenker, Roger Wattenhofer
ICML 2022 SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-Shot Graph Generators Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer
IJCAI 2022 Voting in Two-Crossing Elections Andrei Constantinescu, Roger Wattenhofer
NeurIPS 2021 DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer
ECML-PKDD 2021 Unsupervised Task Clustering for Multi-Task Reinforcement Learning Johannes Ackermann, Oliver Richter, Roger Wattenhofer
NeurIPSW 2020 Learning Lower Bounds for Graph Exploration with Reinforcement Learning Jorel Elmiger, Lukas Faber, Pankaj Khanchandani, Oliver Paul Richter, Roger Wattenhofer
ICLR 2020 On Identifiability in Transformers Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer
ECML-PKDD 2019 Attentive Multi-Task Deep Reinforcement Learning Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer
AAAI 2019 High Dimensional Clustering with R-Nets Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer
AAAI 2018 Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer
ALT 2013 On Competitive Recommendations Jara Uitto, Roger Wattenhofer