publications

2022

  1. JMLR
    Score Matched Neural Exponential Families for Likelihood-Free Inference
    Pacchiardi, Lorenzo, and Dutta, Ritabrata
    Journal of Machine Learning Research 2022

2021

  1. arXiv
    Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization
    Pacchiardi, Lorenzo, Adewoyin, Rilwan, Dueben, Peter, and Dutta, Ritabrata
    arXiv preprint arXiv:2112.08217 2021
  2. arXiv
    Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators
    Pacchiardi, Lorenzo, and Dutta, Ritabrata
    arXiv preprint arXiv:2104.03889 2021
  3. PLOS Comp. Biol.
    Using Mobility Data in the Design of Optimal Lockdown Strategies for the COVID-19 Pandemic
    Dutta, Ritabrata, Gomes, Susana, Kalise, Dante, and Pacchiardi, Lorenzo
    PLOS Computational Biology 2021
  4. JSS
    ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation
    Dutta, Ritabrata, Schoengens, Marcel, Pacchiardi, Lorenzo, Ummadisingu, Avinash, Widmer, Nicole, Künzli, Pierre, Onnela, Jukka-Pekka, and Mira, Antonietta
    Journal of Statistical Software 2021

2020

  1. Sankhya B
    Distance-Learning for Approximate Bayesian Computation to Model a Volcanic Eruption
    Pacchiardi, Lorenzo, Künzli, Pierre, Schoengens, Marcel, Chopard, Bastien, and Dutta, Ritabrata
    Sankhya B 2020