| Learning robust representations via multi-view information bottleneck M Federici, A Dutta, P Forré, N Kushman, Z Akata arXiv preprint arXiv:2002.07017, 2020 | 389 | 2020 |
| Genetic algorithms for hyperparameter optimization in predictive business process monitoring C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ... Information Systems 74, 67-83, 2018 | 156 | 2018 |
| Two for one: Diffusion models and force fields for coarse-grained molecular dynamics M Arts, V Garcia Satorras, CW Huang, D Zugner, M Federici, C Clementi, ... Journal of Chemical Theory and Computation 19 (18), 6151-6159, 2023 | 140 | 2023 |
| An unsupervised aspect extraction strategy for monitoring real-time reviews stream M Dragoni, M Federici, A Rexha Information processing & management 56 (3), 1103-1118, 2019 | 125 | 2019 |
| Predictive business process monitoring framework with hyperparameter optimization C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ... International conference on advanced information systems engineering, 361-376, 2016 | 73 | 2016 |
| A knowledge-based approach for aspect-based opinion mining M Federici, M Dragoni Semantic Web Evaluation Challenge, 141-152, 2016 | 42 | 2016 |
| An information-theoretic approach to distribution shifts M Federici, R Tomioka, P Forré Advances in Neural Information Processing Systems 34, 17628-17641, 2021 | 29 | 2021 |
| Improved bayesian compression M Federici, K Ullrich, M Welling arXiv preprint arXiv:1711.06494, 2017 | 25 | 2017 |
| Towards Unsupervised Approaches For Aspects Extraction. M Federici, M Dragoni EMSA-RMed@ ESWC, 2016 | 20 | 2016 |
| ReUS: a real-time unsupervised system for monitoring opinion streams M Dragoni, M Federici, A Rexha Cognitive Computation 11 (4), 469-488, 2019 | 19 | 2019 |
| Bridge the inference gaps of neural processes via expectation maximization Q Wang, M Federici, H van Hoof arXiv preprint arXiv:2501.03264, 2025 | 18 | 2025 |
| A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis. M Federici, M Dragoni EMSASW@ ESWC, 1-16, 2017 | 18 | 2017 |
| A ProM operational support provider for predictive monitoring of business processes M Federici, W Rizzi, C Di Francescomarino, M Dumas, C Ghidini, ... Proceedings of the BPM Demo Session 2015; Co-located with the 13th …, 2015 | 11 | 2015 |
| Towards lightweight controllable audio synthesis with conditional implicit neural representations J Zuiderveld, M Federici, EJ Bekkers arXiv preprint arXiv:2111.08462, 2021 | 9 | 2021 |
| Latent representation and simulation of markov processes via time-lagged information bottleneck M Federici, P Forré, R Tomioka, BS Veeling arXiv preprint arXiv:2309.07200, 2023 | 8 | 2023 |
| Aspect-based opinion mining using knowledge bases M Federici, M Dragoni Semantic Web Evaluation Challenge, 133-147, 2017 | 8 | 2017 |
| Simulation-based inference with the generalized kullback-leibler divergence BK Miller, M Federici, C Weniger, P Forré arXiv preprint arXiv:2310.01808, 2023 | 7 | 2023 |
| Efficient llm inference using dynamic input pruning and cache-aware masking M Federici, D Belli, M Van Baalen, A Jalalirad, A Skliar, B Major, M Nagel, ... Proceedings of Machine Learning and Systems 7, 2025 | 6 | 2025 |
| Compositional mixture representations for vision and text S Alaniz, M Federici, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
| On the effectiveness of hybrid mutual information estimation M Federici, D Ruhe, P Forré arXiv preprint arXiv:2306.00608, 2023 | 4 | 2023 |
Mauro DragoniHead of the Intelligent Digital Agents Research Group at Fondazione Bruno Kessler.Verified email at fbk.eu
