Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

Award


Physics for Inference and Optimization Article Framework to generate hypergraphs with community structure Ruggeri, N., Battiston, F., De Bacco, C. Physical Review E, March 2024 (Published) Preprint Code Paper DOI URL BibTeX

Physics for Inference and Optimization Article Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information Ruggeri, N., Lonardi, A., De Bacco, C. Journal of Statistical Mechanics: Theory and Experiment, April 2024 (Published) Preprint Code Paper DOI URL BibTeX

Physics for Inference and Optimization Article Structure and inference in hypergraphs with node attributes Badalyan, A., Ruggeri, N., De Bacco, C. Nature Communications, 7073:15, August 2024 (Published) Preprint Code Paper DOI BibTeX

Physics for Inference and Optimization Article Community detection and anomaly prediction in dynamic networks Safdari, H., De Bacco, C. Communications Physics, 7:397, September 2024 (Published) Preprint Paper DOI URL BibTeX

Physics for Inference and Optimization Article Optimal transport with constraints: from mirror descent to classical mechanics Ibrahim, A. A., Muehlebach, M., De Bacco, C. Physical Review Letters, 133:057401, July 2024 (Published) Preprint Code Paper DOI URL BibTeX

Physics for Inference and Optimization Article A model for efficient dynamical ranking in networks Della Vecchia, A., Neocosmos, K., Larremore, D. B., Moore, C., De Bacco, C. Phys. Rev. E 110, 034310, September 2024 (Published) Preprint Code Paper DOI URL BibTeX

Physics for Inference and Optimization Conference Paper A causality-inspired adjusted plus-minus model for player evaluation in team sports De Bacco, C., Wang, Y., Blei, D. M. In Proceedings of Machine Learning Research (PMLR), Proceedings Third Conference on Causal Learning and Reasoning, 236:769-792, Third Conference on Causal Learning and Reasoning, 2024 (Published) URL BibTeX

Physics for Inference and Optimization Conference Paper A causality-inspired plus-minus model for player evaluation in team sports De Bacco, C., Wang, Y., Blei, D. In Proceedings of Machine Learning Research , Conference on Causal Learning and Reasoning, July 2024 (Published) Paper DOI URL BibTeX

Physics for Inference and Optimization Article Flexible inference in heterogeneous and attributed multilayer networks Contisciani, M., Hobbhahn, M., Power, A. E., Hennig, P., De Bacco, C. September 2024, Submitted (Submitted) Preprint Code URL BibTeX