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Books and Theses
- 2022
[b1]Lorenzo Pacchiardi:
Statistical inference in generative models using scoring rules. University of Oxford, UK, 2022
Journal Articles
- 2024
- [j4]Lorenzo Pacchiardi, Rilwan A. Adewoyin, Peter Dueben, Ritabrata Dutta:
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization. J. Mach. Learn. Res. 25: 45:1-45:64 (2024) - 2022
- [j3]Lorenzo Pacchiardi, Ritabrata Dutta:
Score Matched Neural Exponential Families for Likelihood-Free Inference. J. Mach. Learn. Res. 23: 38:1-38:71 (2022) - 2021
- [j2]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) - [j1]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)
Conference and Workshop Papers
- 2024
- [c1]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
Informal and Other Publications
- 2024
- [i5]Lorenzo Pacchiardi, Lucy G. Cheke, José Hernández-Orallo:
100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances. CoRR abs/2409.03563 (2024) - [i4]Lorenzo Pacchiardi, Marko Tesic, Lucy G. Cheke, José Hernández-Orallo:
Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers. CoRR abs/2410.11672 (2024) - 2023
- [i3]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 abs/2309.15840 (2023) - 2022
- [i2]Lorenzo Pacchiardi, Ritabrata Dutta:
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization. CoRR abs/2205.15784 (2022) - 2021
- [i1]Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben, Ritabrata Dutta:
Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization. CoRR abs/2112.08217 (2021)
Coauthor Index
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