Marco Federici

30 papers A* 4A 1Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dissecting Quantization Error: A Concentration-Alignment Perspective. CoRR Marco Federici, Boris van Breugel, Paul N. Whatmough, Markus Nagel
2025	J	`jnl`	Bridge the Inference Gaps of Neural Processes via Expectation Maximization. CoRR Qi Wang, Marco Federici, Herke van Hoof
2025	—	`conf`	Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. MLSys Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough
2025	J	`jnl`	HadaNorm: Diffusion Transformer Quantization through Mean-Centered Transformations. CoRR Marco Federici, Riccardo Del Chiaro, Boris van Breugel, Paul N. Whatmough, Markus Nagel
2025	J	`jnl`	STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization. CoRR Marco Federici, Riccardo Del Chiaro, Boris van Breugel, Paul N. Whatmough, Markus Nagel
2024	J	`jnl`	Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. CoRR Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough
2024	A*	`conf`	Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck. ICLR Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling
2023	A*	`conf`	Bridge the Inference Gaps of Neural Processes via Expectation Maximization. ICLR Qi Wang, Marco Federici, Herke van Hoof
2023	J	`jnl`	Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck. CoRR Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling
2023	J	`jnl`	On the Effectiveness of Hybrid Mutual Information Estimation. CoRR Marco Federici, David Ruhe, Patrick Forré
2023	J	`jnl`	Simulation-based Inference with the Generalized Kullback-Leibler Divergence. CoRR Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré
2023	J	`jnl`	Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
2022	—	`conf`	Compositional Mixture Representations for Vision and Text. CVPR Workshops Stephan Alaniz, Marco Federici, Zeynep Akata
2022	J	`jnl`	Compositional Mixture Representations for Vision and Text. CoRR Stephan Alaniz, Marco Federici, Zeynep Akata
2021	J	`jnl`	A Bayesian Approach to Invariant Deep Neural Networks. CoRR Nikolaos Mourdoukoutas, Marco Federici, Georges Pantalos, Mark van der Wilk, Vincent Fortuin
2021	A*	`conf`	An Information-theoretic Approach to Distribution Shifts. NeurIPS Marco Federici, Ryota Tomioka, Patrick Forré
2021	J	`jnl`	An Information-theoretic Approach to Distribution Shifts. CoRR Marco Federici, Ryota Tomioka, Patrick Forré
2021	J	`jnl`	Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations. CoRR Jan Zuiderveld, Marco Federici, Erik J. Bekkers
2020	A*	`conf`	Learning Robust Representations via Multi-View Information Bottleneck. ICLR Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
2020	J	`jnl`	Learning Robust Representations via Multi-View Information Bottleneck. CoRR Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
2019	J	`jnl`	An unsupervised aspect extraction strategy for monitoring real-time reviews stream. Inf. Process. Manag. Mauro Dragoni, Marco Federici, Andi Rexha
2019	J	`jnl`	ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams. Cogn. Comput. Mauro Dragoni, Marco Federici, Andi Rexha
2018	J	`jnl`	Genetic algorithms for hyperparameter optimization in predictive business process monitoring. Inf. Syst. Chiara Di Francescomarino, Marlon Dumas, Marco Federici, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Luca Simonetto
2018	—	`conf`	The KABSA System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC Marco Federici, Mauro Dragoni
2017	—	`conf`	A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis. EMSASW@ESWC Marco Federici, Mauro Dragoni
2017	—	`conf`	Aspect-Based Opinion Mining Using Knowledge Bases. SemWebEval@ESWC Marco Federici, Mauro Dragoni
2016	—	`conf`	A Knowledge-Based Approach for Aspect-Based Opinion Mining. SemWebEval@ESWC Marco Federici, Mauro Dragoni
2016	A	`conf`	Predictive Business Process Monitoring Framework with Hyperparameter Optimization. CAiSE Chiara Di Francescomarino, Marlon Dumas, Marco Federici, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi
2016	—	`conf`	Towards Unsupervised Approaches For Aspects Extraction. EMSA-RMed@ESWC Marco Federici, Mauro Dragoni
2015	—	`conf`	A ProM Operational Support Provider for Predictive Monitoring of Business Processes. BPM (Demos) Marco Federici, Williams Rizzi, Chiara Di Francescomarino, Marlon Dumas, Chiara Ghidini, Fabrizio Maria Maggi, Irene Teinemaa