‪Renato Berlinghieri‬ - ‪Google Scholar‬

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Citations	68	68
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Co-authors

Gabriele CorsoPhD Student, MITVerified email at mit.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyVerified email at mit.edu
Ryan GiordanoMITVerified email at mit.edu
Brian L TrippePostdoctoral Research Fellow at Columbia UniversityVerified email at columbia.edu
David R. BurtMassachusetts Institute of TechnologyVerified email at mit.edu

Renato Berlinghieri

Renato Berlinghieri

PhD student, MIT

Verified email at mit.edu - Homepage

Machine Learning Statistics Bayesian Inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Subspace diffusion generative models B Jing, G Corso, R Berlinghieri, T Jaakkola European Conference on Computer Vision, 274-289, 2022	62	2022
Measuring utility with diffusion models R Berlinghieri, I Krajbich, F Maccheroni, M Marinacci, M Pirazzini Science Advances 9 (34), eadf1665, 2023	3	2023
Gaussian processes at the Helm (holtz): A more fluid model for ocean currents R Berlinghieri, BL Trippe, DR Burt, R Giordano, K Srinivasan, ... Proceedings of the 40th International Conference on Machine Learning, ICML …, 2023	3	2023
Learning a vector field from snapshots of unidentified particles rather than particle trajectories Y Shen, R Berlinghieri, T Broderick ICLR 2024 Workshop on AI4DifferentialEquations In Science, 0

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