| Do Llamas work in English? On the latent language of multilingual transformers C Wendler*, V Veselovsky*, G Monea*, R West* Proceedings of the Association for Computational Linguistics, 2024 | 83 | 2024 |
| Discrete signal processing with set functions M Püschel, C Wendler IEEE Transactions on Signal Processing 69, 1039-1053, 2020 | 20 | 2020 |
| Powerset Convolutional Neural Networks C Wendler, D Alistarh, M Püschel Advances in Neural Information Processing Systems, 927--938, 2019 | 20 | 2019 |
| Causal Fourier analysis on directed acyclic graphs and posets B Seifert, C Wendler, M Püschel IEEE Transactions on Signal Processing, 2022 | 19 | 2022 |
| Discrete signal processing on meet/join lattices M Püschel, B Seifert, C Wendler IEEE Transactions on Signal Processing 69, 3571-3584, 2021 | 17 | 2021 |
| Fourier analysis-based iterative combinatorial auctions J Weissteiner*, C Wendler*, S Seuken, B Lubin, M Püschel Thirty-First International Joint Conference on Artificial Intelligence, 2020 | 16 | 2020 |
| Learning Fourier-sparse functions on DAGs B Seifert, C Wendler, M Püschel ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022 | 11 | 2022 |
| Learning set functions that are sparse in non-orthogonal Fourier bases C Wendler, A Amrollahi, B Seifert, A Krause, M Püschel Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10283 …, 2021 | 11 | 2021 |
| Learning DAGs from data with few root causes P Misiakos, C Wendler, M Püschel Advances in Neural Information Processing Systems 36, 16865-16888, 2023 | 10 | 2023 |
| Instance-wise algorithm configuration with graph neural networks R Valentin, C Ferrari, J Scheurer, A Amrollahi, C Wendler, MB Paulus Rank 3 in NeurIPS 2021 Machine Learning for Combinatorial Optimization …, 2022 | 8 | 2022 |
| Sampling Signals on Meet/Join Lattices C Wendler, M Püschel Global Conference on Signal and Information Processing (GlobalSIP), 2019 | 8 | 2019 |
| Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers C Dumas*, C Wendler*, V Veselovsky, G Monea, R West ICML Mechanistic Interpretability Workshop, 2024 | 7* | 2024 |
| Unpacking SDXL Turbo: Interpreting text-to-image models with sparse autoencoders V Surkov, C Wendler, M Terekhov, J Deschenaux, R West, C Gulcehre arXiv preprint arXiv:2410.22366, 2024 | 7 | 2024 |
| The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data M Chevalley, J Sackett-Sanders, Y Roohani, P Notin, A Bakulin, ... arXiv preprint arXiv:2308.15395, 2023 | 7 | 2023 |
| Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access S Geng, B Döner, C Wendler, M Josifoski, R West Proceedings of the Association for Computational Linguistics, 2024 | 5 | 2024 |
| Wiener filter on meet/join lattices B Seifert, C Wendler, M Püschel ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
| Diagonalizable shift and filters for directed graphs based on the Jordan-Chevalley decomposition P Misiakos, C Wendler, M Püschel International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2020 | 5 | 2020 |
| Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages J Brinkmann, C Wendler, C Bartelt, A Mueller arXiv preprint arXiv:2501.06346, 2025 | 3 | 2025 |
| RenderedText dataset C Wendler, HQ Gambot | 2 | 2023 |
| Learning Gene Regulatory Networks under Few Root Causes assumption. P Misiakos, C Wendler, M Püschel | 2 | 2023 |
Markus PüschelProfessor of Computer Science, ETH Zurich, SwitzerlandBestätigte E-Mail-Adresse bei inf.ethz.ch