| End-to-end learning of coherent probabilistic forecasts for hierarchical time series SS Rangapuram, LD Werner, K Benidis, P Mercado, J Gasthaus, ... ICML 2021, 8832-8843, 2021 | 78 | 2021 |
| Clustering signed networks with the geometric mean of Laplacians P Mercado, F Tudisco, M Hein NeurIPS 2016, 4421-4429, 2016 | 55 | 2016 |
| Chronos: Learning the language of time series AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ... arXiv preprint arXiv:2403.07815, 2024 | 47 | 2024 |
| Spectral Clustering of Signed Graphs via Matrix Power Means P Mercado, F Tudisco, M Hein ICML 2019, 2019 | 44 | 2019 |
| PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series J Paul, BS Michael, M Pedro, SN Rajbir, K Shubham, F Valentin, G Jan, ... ICLR 2022, 2021 | 42* | 2021 |
| The power mean Laplacian for multilayer graph clustering P Mercado, A Gautier, F Tudisco, M Hein AISTATS 2018, 2018 | 37 | 2018 |
| Node classification for signed networks using diffuse interface methods P Mercado, J Bosch, M Stoll ECMLPKDD 2019, 2019 | 24* | 2019 |
| Community detection in networks via nonlinear modularity eigenvectors F Tudisco, P Mercado, M Hein SIAM Journal on Applied Mathematics 78 (5), 2393-2419, 2018 | 24 | 2018 |
| Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs P Mercado, F Tudisco, M Hein Advances in Neural Information Processing Systems 32 (NeurIPS 2019): NeurIPS …, 2019 | 22 | 2019 |
| Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs P Mercado, F Tudisco, M Hein NeurIPS 2019, 2019 | 22 | 2019 |
| Coherent probabilistic forecasting of temporal hierarchies SS Rangapuram, S Kapoor, RS Nirwan, P Mercado, T Januschowski, ... International Conference on Artificial Intelligence and Statistics, 9362-9376, 2023 | 12 | 2023 |
| Towards Lyrics Spotting in the SyncGlobal Project C Dittmar, P Mercado, H Grossmann, E Cano 3rd International Workshop on Cognitive Information Processing (CIP), 2012 | 8 | 2012 |
| Feature selection in clustering with constraints: Application to active exploration of music collections P Mercado, H Lukashevich ICMLA 2010, 649-654, 2010 | 3 | 2010 |
| Applying constrained clustering for active exploration of music collections P Mercado, H Lukashevich 1st Workshop on Music Recommendation and Discovery (WOMRAD), 39, 2010 | 3 | 2010 |
| Chronos: Learning the Language of Time Series A Fatir Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, ... arXiv e-prints, arXiv: 2403.07815, 2024 | | 2024 |
| Beyond the arithmetic mean: extensions of spectral clustering and semi-supervised learning for signed and multilayer graphs via matrix power means P Mercado Saarländische Universitäts-und Landesbibliothek, 2021 | | 2021 |
| Graph-based PDEs: Laplacians, eigeninformation, and semi-supervised learning J Bosch, S Klamt, P Mercado, M Stoll XXI Householder Symposium on Numerical Linear Algebra, 84, 2020 | | 2020 |
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
