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
Network extraction by routing optimization
Baptista, T. D., Leite, D., Facca, E., Putti, M., De Bacco, C.
Scientific Reports, 10:20806, November 2020 (Published)
Code
Preprint
DOI
URL
BibTeX
Physics for Inference and Optimization
Article
Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures
Ruggeri, N., De Bacco, C.
Applied Network Science, 5:81, October 2020 (Published)
Code
Preprint
pdf
DOI
BibTeX
Physics for Inference and Optimization
Article
Community detection with node attributes in multilayer networks
Contisciani, M., Power, E. A., De Bacco, C.
Scientific Reports, 10:15736, Nature, September 2020 (Published)
Code
Preprint
pdf
DOI
BibTeX
Physics for Inference and Optimization
Master Thesis
Developing new methods for routing and optimal transport on networks
Lonardi, A.
Università degli studi di Padova, 2020 ()
pdf
BibTeX
Physics for Inference and Optimization
Master Thesis
Edge-Disjoint Path Problem on Stochastic Block Models through Message Passing
Ferretti, L.
Sapienza Università di Roma, 2020 ()
BibTeX