Lorenzo Pacchiardi

According to our database, Lorenzo Pacchiardi authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions.

Lorenzo Pacchiardi, Alex J. Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Brauner

CoRR, 2023

2022

Statistical inference in generative models using scoring rules.

Lorenzo Pacchiardi

PhD thesis, 2022

Score Matched Neural Exponential Families for Likelihood-Free Inference.

Lorenzo Pacchiardi, Ritabrata Dutta

J. Mach. Learn. Res., 2022

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

Lorenzo Pacchiardi, Ritabrata Dutta

CoRR, 2022

2021

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

Ritabrata Dutta, Susana N. Gomes, Dante Kalise, Lorenzo Pacchiardi

PLoS Comput. Biol., 2021

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

Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira

J. Stat. Softw., 2021

Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization.

Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta

CoRR, 2021