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Marco Federici
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Learning robust representations via multi-view information bottleneck
M Federici, A Dutta, P Forré, N Kushman, Z Akata
arXiv preprint arXiv:2002.07017, 2020
2322020
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
1132018
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
952019
Predictive business process monitoring framework with hyperparameter optimization
C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ...
Advanced Information Systems Engineering: 28th International Conference …, 2016
622016
Two for one: Diffusion models and force fields for coarse-grained molecular dynamics
M Arts, V Garcia Satorras, CW Huang, D Zügner, M Federici, C Clementi, ...
Journal of Chemical Theory and Computation 19 (18), 6151-6159, 2023
442023
A knowledge-based approach for aspect-based opinion mining
M Federici, M Dragoni
Semantic Web Evaluation Challenge, 141-152, 2016
412016
Improved bayesian compression
M Federici, K Ullrich, M Welling
arXiv preprint arXiv:1711.06494, 2017
212017
Towards Unsupervised Approaches For Aspects Extraction.
M Federici, M Dragoni
EMSA-RMed@ ESWC, 2016
202016
A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis.
M Federici, M Dragoni
EMSASW@ ESWC, 1-16, 2017
172017
An information-theoretic approach to distribution shifts
M Federici, R Tomioka, P Forré
Advances in Neural Information Processing Systems 34, 17628-17641, 2021
132021
ReUS: a real-time unsupervised system for monitoring opinion streams
M Dragoni, M Federici, A Rexha
Cognitive Computation 11 (4), 469-488, 2019
132019
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
122015
Bridge the inference gaps of neural processes via expectation maximization
Q Wang, M Federici, H van Hoof
The Eleventh International Conference on Learning Representations, 2022
82022
Aspect-based opinion mining using knowledge bases
M Federici, M Dragoni
Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, Portoroz …, 2017
82017
Towards lightweight controllable audio synthesis with conditional implicit neural representations
J Zuiderveld, M Federici, EJ Bekkers
arXiv preprint arXiv:2111.08462, 2021
42021
On the effectiveness of hybrid mutual information estimation
M Federici, D Ruhe, P Forré
arXiv preprint arXiv:2306.00608, 2023
32023
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
22022
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
12023
A Bayesian Approach to Invariant Deep Neural Networks
N Mourdoukoutas, M Federici, G Pantalos, M van der Wilk, V Fortuin
arXiv preprint arXiv:2107.09301, 2021
12021
The KABSA System at ESWC-2018 Challenge on Semantic Sentiment Analysis
M Federici, M Dragoni
Semantic Web Challenges: 5th SemWebEval Challenge at ESWC 2018, Heraklion …, 2018
12018
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Artikelen 1–20