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Marco Federici
Marco Federici
Qualcomm AI Research
Verified email at qti.qualcomm.com
Title
Cited by
Cited by
Year
Learning robust representations via multi-view information bottleneck
M Federici, A Dutta, P Forré, N Kushman, Z Akata
arXiv preprint arXiv:2002.07017, 2020
2832020
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
1322018
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
1062019
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
762023
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
642016
A knowledge-based approach for aspect-based opinion mining
M Federici, M Dragoni
Semantic Web Evaluation Challenge, 141-152, 2016
432016
Improved bayesian compression
M Federici, K Ullrich, M Welling
arXiv preprint arXiv:1711.06494, 2017
232017
Towards Unsupervised Approaches For Aspects Extraction.
M Federici, M Dragoni
EMSA-RMed@ ESWC, 2016
202016
An information-theoretic approach to distribution shifts
M Federici, R Tomioka, P Forré
Advances in Neural Information Processing Systems 34, 17628-17641, 2021
182021
A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis.
M Federici, M Dragoni
EMSASW@ ESWC, 1-16, 2017
182017
ReUS: a real-time unsupervised system for monitoring opinion streams
M Dragoni, M Federici, A Rexha
Cognitive Computation 11 (4), 469-488, 2019
162019
A ProM Operational Support Provider for Predictive Monitoring of Business Processes.
M Federici, W Rizzi, C Di Francescomarino, M Dumas, C Ghidini, ...
BPM (Demos), 1-5, 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, 2023
112023
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
62021
On the effectiveness of hybrid mutual information estimation
M Federici, D Ruhe, P Forré
arXiv preprint arXiv:2306.00608, 2023
32023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence
BK Miller, M Federici, C Weniger, P Forré
1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023
22023
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
22023
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
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
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