Research
Preprints
Nonparametric Riemannian Empirical Bayes and Denoising Measurements on Manifolds
with Adam Q. Jaffe and Bodhisattva Sen (2026) [ arXiv ]
Generative Flows with Lifted Gaussian Transport
with Luca Raffo (2026)
Network Learning with Semi-relaxed Gromov-Wasserstein
with Charles Dufour and Ulysse Naepels (2026) [ arXiv ]
Amplitude-Phase Analysis of the COVID-19 Point Process and the Early Countermeasures
with Francesco Tripoli and Tomas Masak (2026) [ arXiv ]
Likelihood Ratio Tests with Kernel Embeddings
with Victor M. Panaretos (2025) [ arXiv ]
Large Deviations for Bures-Wasserstein Barycenters
with Adam Q. Jaffe (2024) [ arXiv ]
with Adam Q. Jaffe and Bodhisattva Sen (2026) [ arXiv ]
Generative Flows with Lifted Gaussian Transport
with Luca Raffo (2026)
Network Learning with Semi-relaxed Gromov-Wasserstein
with Charles Dufour and Ulysse Naepels (2026) [ arXiv ]
Amplitude-Phase Analysis of the COVID-19 Point Process and the Early Countermeasures
with Francesco Tripoli and Tomas Masak (2026) [ arXiv ]
Likelihood Ratio Tests with Kernel Embeddings
with Victor M. Panaretos (2025) [ arXiv ]
Large Deviations for Bures-Wasserstein Barycenters
with Adam Q. Jaffe (2024) [ arXiv ]
Accepted Papers
Kernel Embeddings and the Separation of Measure Phenomenon
with Kartik G. Waghmare, Victor M. Panaretos (2026)
PNAS [ journal] [ arXiv ]
Statistical Inference for Bures-Wasserstein Flows
with Victor M. Panaretos (2025)
Bernoulli [journal] [ arXiv ]
Functional Vasicek Model
with Neda M. Jouzdani, Piotr S. Kokoszka, Hong Miao (2025)
Journal of Time Series Analysis [ journal]
A refined thoracic score to predict the need for surfactant in preterm neonates
with Sara Rossignoli, Carlo A. Forcellini et al (2025)
Pediatric Pulmonology [ journal ]
Large Sample Theory for Bures-Wasserstein Barycenters
with Victor M. Panaretos (2024)
Annals of Applied Probability [ journal ] [ arXiv ]
Nonparametric Estimation for SDE with Sparsely Sampled Paths: an FDA Perspective
with Neda M. Jouzdani, Victor M. Panaretos (2024)
Stochastic Processes and their Applications [ journal ] [ arXiv ]
Widths of Crossings in Poisson Boolean Percolation
with Ioan Manolescu (2024)
Journal of Applied Probability [ journal ] [ arXiv ]
A Karhunen–Loève Theorem for Random Flows in Hilbert Spaces
with Kartik G. Waghmare, Victor M. Panaretos (2023)
Electronic Communications in Probability [ journal ] [ arXiv ]
Clinical-Pathological Evaluation and Prognostic Analysis of 228 Merkel Cell Carcinomas
with Federica M. Santoro et al (2022)
Endocrine Pathology [ journal ]
with Kartik G. Waghmare, Victor M. Panaretos (2026)
PNAS [ journal] [ arXiv ]
Statistical Inference for Bures-Wasserstein Flows
with Victor M. Panaretos (2025)
Bernoulli [journal] [ arXiv ]
Functional Vasicek Model
with Neda M. Jouzdani, Piotr S. Kokoszka, Hong Miao (2025)
Journal of Time Series Analysis [ journal]
A refined thoracic score to predict the need for surfactant in preterm neonates
with Sara Rossignoli, Carlo A. Forcellini et al (2025)
Pediatric Pulmonology [ journal ]
Large Sample Theory for Bures-Wasserstein Barycenters
with Victor M. Panaretos (2024)
Annals of Applied Probability [ journal ] [ arXiv ]
Nonparametric Estimation for SDE with Sparsely Sampled Paths: an FDA Perspective
with Neda M. Jouzdani, Victor M. Panaretos (2024)
Stochastic Processes and their Applications [ journal ] [ arXiv ]
Widths of Crossings in Poisson Boolean Percolation
with Ioan Manolescu (2024)
Journal of Applied Probability [ journal ] [ arXiv ]
A Karhunen–Loève Theorem for Random Flows in Hilbert Spaces
with Kartik G. Waghmare, Victor M. Panaretos (2023)
Electronic Communications in Probability [ journal ] [ arXiv ]
Clinical-Pathological Evaluation and Prognostic Analysis of 228 Merkel Cell Carcinomas
with Federica M. Santoro et al (2022)
Endocrine Pathology [ journal ]