Marco Federici

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Expectation Maximization

Business Processes

Information Bottleneck

Top Venues

SemWebEval@ESWC

Publications

Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck. ICLR (2024)
Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck. CoRR (2023)
Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré
Simulation-based Inference with the Generalized Kullback-Leibler Divergence. CoRR (2023)
Marco Federici, David Ruhe, Patrick Forré
On the Effectiveness of Hybrid Mutual Information Estimation. CoRR (2023)
Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR (2023)
Qi Wang, Marco Federici, Herke van Hoof
Bridge the Inference Gaps of Neural Processes via Expectation Maximization. ICLR (2023)
Stephan Alaniz, Marco Federici, Zeynep Akata
Compositional Mixture Representations for Vision and Text. CoRR (2022)
Stephan Alaniz, Marco Federici, Zeynep Akata
Compositional Mixture Representations for Vision and Text. CVPR Workshops (2022)
Marco Federici, Ryota Tomioka, Patrick Forré
An Information-theoretic Approach to Distribution Shifts. NeurIPS (2021)
Jan Zuiderveld, Marco Federici, Erik J. Bekkers
Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations. CoRR (2021)
Marco Federici, Ryota Tomioka, Patrick Forré
An Information-theoretic Approach to Distribution Shifts. CoRR (2021)
Nikolaos Mourdoukoutas, Marco Federici, Georges Pantalos, Mark van der Wilk, Vincent Fortuin
A Bayesian Approach to Invariant Deep Neural Networks. CoRR (2021)
Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
Learning Robust Representations via Multi-View Information Bottleneck. ICLR (2020)
Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
Learning Robust Representations via Multi-View Information Bottleneck. CoRR (2020)
Mauro Dragoni, Marco Federici, Andi Rexha
An unsupervised aspect extraction strategy for monitoring real-time reviews stream. Inf. Process. Manag. 56 (3) (2019)
Mauro Dragoni, Marco Federici, Andi Rexha
ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams. Cogn. Comput. 11 (4) (2019)
Marco Federici, Mauro Dragoni
The KABSA System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC (2018)
Chiara Di Francescomarino, Marlon Dumas, Marco Federici, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Luca Simonetto
Genetic algorithms for hyperparameter optimization in predictive business process monitoring. Inf. Syst. 74 (Part) (2018)
Marco Federici, Mauro Dragoni
A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis. EMSASW@ESWC (2017)
Marco Federici, Mauro Dragoni
Aspect-Based Opinion Mining Using Knowledge Bases. SemWebEval@ESWC (2017)
Chiara Di Francescomarino, Marlon Dumas, Marco Federici, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi
Predictive Business Process Monitoring Framework with Hyperparameter Optimization. CAiSE (2016)
Marco Federici, Mauro Dragoni
A Knowledge-Based Approach for Aspect-Based Opinion Mining. SemWebEval@ESWC (2016)
Marco Federici, Mauro Dragoni
Towards Unsupervised Approaches For Aspects Extraction. EMSA-RMed@ESWC (2016)
Marco Federici, Williams Rizzi, Chiara Di Francescomarino, Marlon Dumas, Chiara Ghidini, Fabrizio Maria Maggi, Irene Teinemaa
A ProM Operational Support Provider for Predictive Monitoring of Business Processes. BPM (Demos) (2015)