Marco Federici

According to our database, Marco Federici authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Simulation-based Inference with the Generalized Kullback-Leibler Divergence.

Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré

CoRR, 2023

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck.

Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling

CoRR, 2023

On the Effectiveness of Hybrid Mutual Information Estimation.

Marco Federici, David Ruhe, Patrick Forré

CoRR, 2023

Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics.

Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg

CoRR, 2023

Bridge the Inference Gaps of Neural Processes via Expectation Maximization.

Qi Wang, Marco Federici, Herke van Hoof

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Compositional Mixture Representations for Vision and Text.

Stephan Alaniz, Marco Federici, Zeynep Akata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations.

Jan Zuiderveld, Marco Federici, Erik J. Bekkers

CoRR, 2021

A Bayesian Approach to Invariant Deep Neural Networks.

Nikolaos Mourdoukoutas, Marco Federici, Georges Pantalos, Mark van der Wilk, Vincent Fortuin

CoRR, 2021

An Information-theoretic Approach to Distribution Shifts.

Marco Federici, Ryota Tomioka, Patrick Forré

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning Robust Representations via Multi-View Information Bottleneck.

Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

An unsupervised aspect extraction strategy for monitoring real-time reviews stream.

Mauro Dragoni, Marco Federici, Andi Rexha

Inf. Process. Manag., 2019

ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams.

Mauro Dragoni, Marco Federici, Andi Rexha

Cogn. Comput., 2019

2018

Genetic algorithms for hyperparameter optimization in predictive business process monitoring.

Chiara Di Francescomarino, Marlon Dumas, Marco Federici, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Luca Simonetto

Inf. Syst., 2018

The KABSA System at ESWC-2018 Challenge on Semantic Sentiment Analysis.

Marco Federici, Mauro Dragoni

Proceedings of the Semantic Web Challenges, 2018

2017

Aspect-Based Opinion Mining Using Knowledge Bases.

Marco Federici, Mauro Dragoni

Proceedings of the Semantic Web Challenges, 2017

A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis.

Marco Federici, Mauro Dragoni

Proceedings of the 3rd International Workshop at ESWC on Emotions, 2017

2016

A Knowledge-Based Approach for Aspect-Based Opinion Mining.

Marco Federici, Mauro Dragoni

Proceedings of the Semantic Web Challenges - Third SemWebEval Challenge at ESWC 2016, Heraklion, Crete, Greece, May 29, 2016

Towards Unsupervised Approaches For Aspects Extraction.

Marco Federici, Mauro Dragoni

Proceedings of the Joint Proceedings of the 2th Workshop on Emotions, 2016

Predictive Business Process Monitoring Framework with Hyperparameter Optimization.

Chiara Di Francescomarino, Marlon Dumas, Marco Federici, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi

Proceedings of the Advanced Information Systems Engineering, 2016

2015

A ProM Operational Support Provider for Predictive Monitoring of Business Processes.

Marco Federici, Williams Rizzi, Chiara Di Francescomarino, Marlon Dumas, Chiara Ghidini, Fabrizio Maria Maggi, Irene Teinemaa

Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), 2015