Andrea Zanoni

30 papers A* 1Journal 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Fourier-Based Inference Method for Learning Interaction Kernels in Particle Systems.
SIAM J. Appl. Math.
Grigorios A. Pavliotis, Andrea Zanoni
2026 J jnl
On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions.
Comput. Biol. Medicine
Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi, Alison L. Marsden
2025 J jnl
A Fourier-based inference method for learning interaction kernels in particle systems.
CoRR
Grigorios A. Pavliotis, Andrea Zanoni
2025 J jnl
Enabling stratified sampling in high dimensions via nonlinear dimensionality reduction.
CoRR
Gianluca Geraci, Daniele E. Schiavazzi, Andrea Zanoni
2025 J jnl
Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty Quantification.
J. Sci. Comput.
Andrea Zanoni, Gianluca Geraci, Matteo Salvador, Alison L. Marsden, Daniele E. Schiavazzi
2025 J jnl
Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion.
CoRR
Jaroslav I. Borodavka, Max Hirsch, Sebastian Krumscheid, Andrea Zanoni
2025 J jnl
On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions.
CoRR
Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi, Alison L. Marsden
2025 J jnl
Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification.
Comput. Methods Programs Biomed.
Karthik Menon, Andrea Zanoni, Muhammad Owais Khan, Gianluca Geraci, Koen Nieman, Daniele E. Schiavazzi, Alison L. Marsden
2024 J jnl
A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit.
SIAM/ASA J. Uncertain. Quantification
Grigorios A. Pavliotis, Andrea Zanoni
2024 J jnl
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds.
CoRR
Andrea Zanoni, Gianluca Geraci, Matteo Salvador, Alison L. Marsden, Daniele E. Schiavazzi
2024 J jnl
Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification.
CoRR
Karthik Menon, Andrea Zanoni, Muhammad Owais Khan, Gianluca Geraci, Koen Nieman, Daniele E. Schiavazzi, Alison L. Marsden
2024 J jnl
Stochastic gradient descent in continuous time for drift identification in multiscale diffusions.
CoRR
Max Hirsch, Andrea Zanoni
2023 J jnl
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis.
CoRR
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
2023 J jnl
Drift Estimation of Multiscale Diffusions Based on Filtered Data.
Found. Comput. Math.
Assyr Abdulle, Giacomo Garegnani, Grigorios A. Pavliotis, Andrew M. Stuart, Andrea Zanoni
2023 J jnl
Filtered data based estimators for stochastic processes driven by colored noise.
CoRR
Grigorios A. Pavliotis, Sebastian Reich, Andrea Zanoni
2023 J jnl
Frustrated Total Internal Reflection Measurement System for Pilot Inceptor Grip Pressure.
Sensors
Andrea Zanoni, Pierre Garbo, Pierangelo Masarati, Giuseppe Quaranta
2022 J jnl
A method of moments estimator for interacting particle systems and their mean field limit.
CoRR
Grigorios A. Pavliotis, Andrea Zanoni
2022 J jnl
Eigenfunction Martingale Estimators for Interacting Particle Systems and Their Mean Field Limit.
SIAM J. Appl. Dyn. Syst.
Grigorios A. Pavliotis, Andrea Zanoni
2022 J jnl
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions.
Stat. Comput.
Assyr Abdulle, Grigorios A. Pavliotis, Andrea Zanoni
2021 J jnl
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions.
CoRR
Assyr Abdulle, Grigorios A. Pavliotis, Andrea Zanoni
2021 J jnl
Eigenfunction martingale estimators for interacting particle systems and their mean field limit.
CoRR
Grigorios A. Pavliotis, Andrea Zanoni
2021 J jnl
On Task Dependence of Helicopter Pilot Biodynamic Feedthrough and Neuromuscular Admittance: An Experimental and Numerical Study.
IEEE Trans. Hum. Mach. Syst.
Andrea Zanoni, Matteo Zago, Rita Paolini, Giuseppe Quaranta, Manuela Galli, Pierangelo Masarati
2021 J jnl
Robust Estimation of Effective Diffusions from Multiscale Data.
CoRR
Giacomo Garegnani, Andrea Zanoni
2020 J jnl
Drift Estimation of Multiscale Diffusions Based on Filtered Data.
CoRR
Assyr Abdulle, Giacomo Garegnani, Grigorios A. Pavliotis, Andrew M. Stuart, Andrea Zanoni
2020 J jnl
Ensemble Kalman Filter for Multiscale Inverse Problems.
Multiscale Model. Simul.
Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni
2020 A* conf
Minimax Classification with 0-1 Loss and Performance Guarantees.
NeurIPS
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
2020 J jnl
Minimax Classification with 0-1 Loss and Performance Guarantees.
CoRR
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
2019 J jnl
Ensemble Kalman filter for multiscale inverse problems.
CoRR
Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni
2019 J jnl
On the Design of Force Sensors Based on Frustrated Total Internal Reflection.
IEEE Trans. Instrum. Meas.
Alberto Lavatelli, Andrea Zanoni, Emanuele Zappa, Alfredo Cigada
2019 J jnl
Supervised classification via minimax probabilistic transformations.
CoRR
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez