Supervised classification via minimax probabilistic transformations. - Santiago Mazuelas; Andrea Zanoni; Aritz Pérez (CoRR, 2019)

On the Design of Force Sensors Based on Frustrated Total Internal Reflection. - Alberto Lavatelli; Andrea Zanoni; Emanuele Zappa; Alfredo Cigada (IEEE Trans. Instrum. Meas., 2019)

Minimax Classification with 0-1 Loss and Performance Guarantees. - Santiago Mazuelas; Andrea Zanoni; Aritz Pérez (NeurIPS, 2020)

Ensemble Kalman Filter for Multiscale Inverse Problems. - Assyr Abdulle; Giacomo Garegnani; Andrea Zanoni (Multiscale Model. Simul., 2020)

Robust Estimation of Effective Diffusions from Multiscale Data. - Giacomo Garegnani; Andrea Zanoni (CoRR, 2021)

On Task Dependence of Helicopter Pilot Biodynamic Feedthrough and Neuromuscular Admittance: An Experimental and Numerical Study. - Andrea Zanoni; Matteo Zago; Rita Paolini; Giuseppe Quaranta; Manuela Galli; Pierangelo Masarati (IEEE Trans. Hum. Mach. Syst., 2021)

Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. - Assyr Abdulle; Grigorios A. Pavliotis; Andrea Zanoni (Stat. Comput., 2022)

Eigenfunction Martingale Estimators for Interacting Particle Systems and Their Mean Field Limit. - Grigorios A. Pavliotis; Andrea Zanoni (SIAM J. Appl. Dyn. Syst., 2022)

A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis. - John D. Lee; Jakob Richter; Martin R. Pfaller; Jason M. Szafron; Karthik Menon; Andrea Zanoni; Michael R. Ma; Jeffrey A. Feinstein; Jacqueline Kreutzer; Alison L. Marsden; Daniele E. Schiavazzi (CoRR, 2023)

Filtered data based estimators for stochastic processes driven by colored noise. - Grigorios A. Pavliotis; Sebastian Reich; Andrea Zanoni (CoRR, 2023)

Drift Estimation of Multiscale Diffusions Based on Filtered Data. - Assyr Abdulle; Giacomo Garegnani; Grigorios A. Pavliotis; Andrew M. Stuart; Andrea Zanoni (Found. Comput. Math., 2023)

Frustrated Total Internal Reflection Measurement System for Pilot Inceptor Grip Pressure. - Andrea Zanoni; Pierre Garbo; Pierangelo Masarati; Giuseppe Quaranta (Sensors, 2023)

NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds. - Andrea Zanoni; Gianluca Geraci; Matteo Salvador; Alison L. Marsden; Daniele E. Schiavazzi (CoRR, 2024)

Stochastic gradient descent in continuous time for drift identification in multiscale diffusions. - Max Hirsch; Andrea Zanoni (CoRR, 2024)

A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit. - Grigorios A. Pavliotis; Andrea Zanoni (SIAM/ASA J. Uncertain. Quantification, 2024)

Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification. - Karthik Menon; Andrea Zanoni; Muhammad Owais Khan; Gianluca Geraci; Koen Nieman; Daniele E. Schiavazzi; Alison L. Marsden (Comput. Methods Programs Biomed., 2025)

A Fourier-based inference method for learning interaction kernels in particle systems. - Grigorios A. Pavliotis; Andrea Zanoni (CoRR, 2025)

Enabling stratified sampling in high dimensions via nonlinear dimensionality reduction. - Gianluca Geraci; Daniele E. Schiavazzi; Andrea Zanoni (CoRR, 2025)

On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions. - Chloe H. Choi; Andrea Zanoni; Daniele E. Schiavazzi; Alison L. Marsden (CoRR, 2025)