Lorenzo Pacchiardi

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Score Matched Conditional Exponential Families for Likelihood-Free Inference∗

Ritabrata Dutta, Lorenzo Pacchiardi, 2020, 2012.10903.

Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization

Ritabrata Dutta, Lorenzo Pacchiardi, P. Dueben, 2021, J. Mach. Learn. Res..

Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

Ritabrata Dutta, Lorenzo Pacchiardi, 2022, ArXiv.

Generalized Bayesian Likelihood-Free Inference

Ritabrata Dutta, Lorenzo Pacchiardi, Sherman Khoo, 2021, 2104.03889.

Score Matched Neural Exponential Families for Likelihood-Free Inference

Ritabrata Dutta, Lorenzo Pacchiardi, 2020, J. Mach. Learn. Res..

Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption

Ritabrata Dutta, B. Chopard, Lorenzo Pacchiardi, 2019, Sankhya B.

Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic

Lorenzo Pacchiardi, Ritabrata Dutta, Dante Kalise, 2020, PLoS Comput. Biol..

Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization pdf

Ritabrata Dutta, Peter Dueben, Lorenzo Pacchiardi, 2021, ArXiv.

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation

Ritabrata Dutta, Antonietta Mira, Jukka-Pekka Onnela, 2017, J. Stat. Softw..

Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators

Ritabrata Dutta, Lorenzo Pacchiardi, 2021 .

Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic

Ritabrata Dutta, D. Kalise, Lorenzo Pacchiardi, 2020, PLoS Comput. Biol..