| Discrete signal processing with set functions M Püschel, C Wendler IEEE Transactions on Signal Processing 69, 1039-1053, 2020 | 18 | 2020 |
| Powerset Convolutional Neural Networks C Wendler, D Alistarh, M Püschel Advances in Neural Information Processing Systems, 927--938, 2019 | 16 | 2019 |
| Discrete signal processing on meet/join lattices M Püschel, B Seifert, C Wendler IEEE Transactions on Signal Processing 69, 3571-3584, 2021 | 15 | 2021 |
| Causal Fourier analysis on directed acyclic graphs and posets B Seifert, C Wendler, M Püschel arXiv preprint arXiv:2209.07970, 2022 | 12 | 2022 |
| Fourier analysis-based iterative combinatorial auctions J Weissteiner, C Wendler, S Seuken, B Lubin, M Püschel arXiv preprint arXiv:2009.10749, 2020 | 12 | 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 | 10 | 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 | 9 | 2021 |
| Sampling Signals on Meet/Join Lattices C Wendler, M Püschel Global Conference on Signal and Information Processing (GlobalSIP), 2019 | 8 | 2019 |
| 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 |
| Do Llamas Work in English? On the Latent Language of Multilingual Transformers C Wendler, V Veselovsky, G Monea, R West arXiv preprint arXiv:2402.10588, 2024 | 4 | 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 | 4 | 2023 |
| Instance-wise algorithm configuration with graph neural networks R Valentin, C Ferrari, J Scheurer, A Amrollahi, C Wendler, MB Paulus arXiv preprint arXiv:2202.04910, 2022 | 4 | 2022 |
| Learning DAGs from data with few root causes P Misiakos, C Wendler, M Püschel Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access S Geng, B Döner, C Wendler, M Josifoski, R West arXiv preprint arXiv:2401.09967, 2024 | 1 | 2024 |
| Learning Gene Regulatory Networks under Few Root Causes assumption. P Misiakos, C Wendler, M Püschel | 1 | 2023 |
| Machine learning on non-Euclidean domains: powersets, lattices, posets C Wendler ETH Zurich, 2023 | | 2023 |
| Learning DAGs from Fourier-Sparse Data P Misiakos, C Wendler, M Püschel | | 2022 |
Markus PüschelProfessor of Computer Science, ETH Zurich, SwitzerlandVerified email at inf.ethz.ch
