talks

2024

• 2024/05/02: Talk on our “lie detection in black-box LLMs” paper @ VRAIN seminar, Universitat Politècnica de València (Spain).

• 2024/04/29: Talk on our “lie detection in black-box LLMs” paper @ Foundation Models Reading Group, Alan Turing Institute (London).

• 2024/03/06: Talk on our “lie detection in black-box LLMs” paper @ Cambridge AI Safety Hub.

• 2024/03/05: Talk on our “lie detection in black-box LLMs” paper @ Computer Security Seminar, Department of Computer Science, University of Cambridge. Recording here.

2023

• 2023/07/18: Invited talk on Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization (preprint here) @ ML for weather forecasting workshop at Warwick University.

• 2023/03/16: Invited talk on Stochastic Gradient MCMC sampling for the Scoring Rule posterior @ BayesComp 2023 (Levi, Finland).

• 2023/03/14: Invited talk on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization (preprint here) @ Bayesian computing without exact likelihoods workshop (Levi, Finland).

2022

• 2022/12/16: Contributed talk (travel award session) on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization (preprint here) @ ICSDS 2022 (Florence, Italy).

• 2022/11/17: Seminar on Training Generative Networks via Scoring Rule Minimization (preprints here and here) @ Computational and Biological Learning Lab, University of Cambridge (invited by prof. David Krueger).

• 2022/10/28: Invited presentation on Stochastic Gradient MCMC sampling for the Scoring Rule posterior @ Fusion workshop at CIRM (Marseille, France).

• 2022/08/23: Contributed talk on Training Generative Networks via Scoring Rule Minimization (preprints here and here) @ CompStat 2022 (Bologna, Italy).

• 2022/07/25: Seminar on my arXiv preprint on Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization @ Predictability of weather group (prof. Tim Palmer) at the University of Oxford, UK.

• 2022/06/30: Contributed talk on my arXiv preprint on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization @ BaYSM 2022 (Montreal, Canada).

• 2022/06/30: Contributed talk on my arXiv preprint on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization @ ISBA 2022 World Meeting (Montreal, Canada).

• 2022/06/15: Invited presentation at the YoungStatS One World webinar on Approximate Bayesian Inference. I presented my arXiv preprint on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators. Video available here.

• 2022/06/01: (Online) seminar on my arXiv preprint on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ Generalized Bayes Reading Group.

• 2022/02/07: (Online) Seminar on my arXiv preprint on Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization @ Computational Statistics group (prof. Tilmann Gneiting) at the Heidelberg Institute for Theoretical Studies, Germany.

2021

• 2021/12/14: Seminar on my arXiv preprint on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ Università della Svizzera Italiana, Lugano, Switzerland.

• 2021/10/08: Seminar on my arXiv preprint on Score matched conditional exponential families for Likelihood-Free Inference @ ACIIS seminar series, University of Warwick, Coventry.

• 2021/07/13: (Online) Seminar on the ABCpy package for Likelihood Free Inference @ Oxford Research Software Engineering (RSE) group, University of Oxford.

• 2021/06/28: Contributed talk on my arXiv preprint on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ ISBA 2021 World Meeting (online) [pre-recorded video here].

• 2021/06/03: (Online) seminar on my arXiv preprint on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ Warwick Machine Learning Reading Group, University of Warwick, Coventry.

• 2021/06/02: (Online) seminar on my arXiv preprint on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ DCE Reading Group, Turing Institute, London.

• 2021/04/12: (Online) Introduction to the ABCpy package for Likelihood Free Inference @ ABC (not) in Svalbard. [Youtube recording here].

• 2021/02/12: (Online) seminar on my arXiv preprint on Score matched conditional exponential families for Likelihood-Free Inference @ Imperial College, London.

2020

• 2020/10/21: Data Science Seminar on my work on Score matched conditional exponential families for Likelihood-Free Inference @ Università della Svizzera Italiana, Lugano, Switzerland.

• 2020/09/14: (Online) Introduction to Approximate Bayesian Computation seminar @ Predictability of Weather and Climate group, Department of Physics, University of Oxford.