Lorenzo Pacchiardi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Conditional Likelihood

Top Venues

J. Stat. Softw.

J. Mach. Learn. Res.

Publications

Lorenzo Pacchiardi, Alex James Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Markus Brauner
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions. ICLR (2024)
Lorenzo Pacchiardi, Alex J. Chan, Sören Mindermann, Ilan Moscovitz, Alexa Y. Pan, Yarin Gal, Owain Evans, Jan Brauner
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions. CoRR (2023)
Lorenzo Pacchiardi, Ritabrata Dutta
Score Matched Neural Exponential Families for Likelihood-Free Inference. J. Mach. Learn. Res. 23 (2022)
Lorenzo Pacchiardi, Ritabrata Dutta
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization. CoRR (2022)
Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta
Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization. CoRR (2021)
Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation. J. Stat. Softw. 100 (7) (2021)
Ritabrata Dutta, Susana N. Gomes, Dante Kalise, Lorenzo Pacchiardi
Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic. PLoS Comput. Biol. 17 (8) (2021)