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1 </head> <body class="fixed-top-nav "> <header> <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top" role="navigation"> <div class="container"> <a class="navbar-brand title font-weight-lighter" href="/"> <span class="font-weight-bold">Lorenzo </span> Pacchiardi </a> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> <div class="collapse navbar-collapse text-right" id="navbarNav"> <ul class="navbar-nav ml-auto flex-nowrap"> <li class="nav-item "> <a class="nav-link" href="/">about </a> </li> <li class="nav-item "> <a class="nav-link" href="/publications/">publications </a> </li> <li class="nav-item active"> <a class="nav-link" href="/talks/">talks <span class="sr-only">(current)</span> </a> </li> <li class="nav-item "> <a class="nav-link" href="/blog/">blog </a> </li> <li class="nav-item "> <a class="nav-link" href="/resources/">resources </a> </li> <li class="toggle-container"> <button id="light-toggle" title="Change theme"> <i class="fa-solid fa-moon"></i> <i class="fa-solid fa-sun"></i> </button> </li> </ul> </div> </div> </nav> <progress id="progress" value="0"> <div class="progress-container"> <span class="progress-bar"></span> </div> </progress> </header> <div class="container mt-5" role="main"> <div class="post"> <header class="post-header"> <h1 class="post-title">talks</h1> <p class="post-description">Selection of talks and seminars</p> </header> <article> <h2 class="year">2026</h2> <ul> <li> <p>2026/09/16: Invited seminar on <a href="https://cl-eval.github.io/" rel="external nofollow noopener" target="_blank">evaluation of continual learning AI systems</a> @ <strong>Google DeepMind (London)</strong>.</p> </li> <li> <p>2026/08/06: Invited seminar on <a href="https://cl-eval.github.io/" rel="external nofollow noopener" target="_blank">evaluation of continual learning AI systems</a> @ <strong>US federal agencies working group on AI &amp; Evaluation</strong>. Invited by Lauren Damme, Director of Innovation in Evaluation &amp; Research at the U.S. Department of Labor.</p> </li> </ul> <h2 class="year">2025</h2> <ul> <li> <p>2025/11/18: Seminar on <a href="https://predictaboard.github.io/" rel="external nofollow noopener" target="_blank">PredictaBoard</a> @ <a href="https://young-pomelo-9d4.notion.site/BlueDot-Evals-Reading-Group-248d6cc32972806588d7dfedefefc1bc" rel="external nofollow noopener" target="_blank"><strong>BlueDot’s evals reading group</strong></a>.</p> </li> <li> <p>2025/10/14: Introductory talk on AI evaluation <a href="https://ai-evaluation-paradigms.github.io/" rel="external nofollow noopener" target="_blank">paradigms</a> and the <a href="https://kinds-of-intelligence-cfi.github.io/ADELE/" rel="external nofollow noopener" target="_blank">ADeLe framework</a> @ <a href="https://www.eacambridge.org/" rel="external nofollow noopener" target="_blank">Effective Altruism Cambridge</a>, <strong>University of Cambridge</strong></p> </li> <li> <p>2025/05/22: Keynote Talk “<a href="https://media.upv.es/#/portal/video/e982d490-4524-11f0-a5d3-69c01510d5bb" rel="external nofollow noopener" target="_blank">AI and scientific research</a>” @ Yearly meeting of Doctoral Students, <strong>Universitat Politècnica de València (Spain)</strong></p> </li> <li> <p>2025/05/21: Seminar “Evaluating the Present and Future of Data Science Automation” @ School of Informatics, <strong>Universitat Politècnica de València (Spain)</strong>.</p> </li> <li> <p>2025/04/09: Seminar on my recent works (<a href="https://ai-evaluation-paradigms.github.io/" rel="external nofollow noopener" target="_blank">1</a>, <a href="https://predictaboard.github.io/" rel="external nofollow noopener" target="_blank">2</a>, <a href="https://arxiv.org/abs/2503.06378" rel="external nofollow noopener" target="_blank">3</a>) @ <a href="https://www.areasciencepark.it/en/research-infrastru
1ctures/data-engineering-lade/" rel="external nofollow noopener" target="_blank">Laboratory of Data Engineering (LADE)</a>, <strong>AREA science park, Trieste (Italy)</strong>.</p> </li> </ul> <h2 class="year">2024</h2> <ul> <li> <p>2024/05/02: Talk on our “<a href="https://arxiv.org/abs/2309.15840" rel="external nofollow noopener" target="_blank">lie detection in black-box LLMs</a>” paper @ VRAIN seminar, <strong>Universitat Politècnica de València (Spain)</strong>.</p> </li> <li> <p>2024/04/29: Talk on our “<a href="https://arxiv.org/abs/2309.15840" rel="external nofollow noopener" target="_blank">lie detection in black-box LLMs</a>” paper @ <a href="https://github.com/alan-turing-institute/foundation-models-reading-group" rel="external nofollow noopener" target="_blank">Foundation Models Reading Group</a>, <strong>Alan Turing Institute (London)</strong>.</p> </li> <li> <p>2024/03/06: Talk on our “<a href="https://arxiv.org/abs/2309.15840" rel="external nofollow noopener" target="_blank">lie detection in black-box LLMs</a>” paper @ <strong><a href="https://www.cambridgeaisafety.org/" rel="external nofollow noopener" target="_blank">Cambridge AI Safety Hub</a></strong>.</p> </li> <li> <p>2024/03/05: Talk on our “<a href="https://arxiv.org/abs/2309.15840" rel="external nofollow noopener" target="_blank">lie detection in black-box LLMs</a>” paper @ <strong><a href="https://www.cl.cam.ac.uk/research/security/seminars/" rel="external nofollow noopener" target="_blank">Computer Security Seminar</a>, Department of Computer Science, University of Cambridge</strong>. Recording <a href="https://www.cl.cam.ac.uk/research/security/seminars/archive/video/2024-03-05-t212224.html" rel="external nofollow noopener" target="_blank">here</a>.</p> </li> </ul> <h2 class="year">2023</h2> <ul> <li> <p>2023/07/18: Invited talk on Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization (<a href="https://arxiv.org/abs/2112.08217" rel="external nofollow noopener" target="_blank">preprint here</a>) @ <strong><a href="https://warwick.ac.uk/fac/sci/statistics/news/fsds/" rel="external nofollow noopener" target="_blank">ML for weather forecasting workshop</a> at Warwick University</strong>.</p> </li> <li> <p>2023/03/16: Invited talk on Stochastic Gradient MCMC sampling for the <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">Scoring Rule posterior</a> @ <strong><a href="https://bayescomp2023.com/" rel="external nofollow noopener" target="_blank">BayesComp 2023</a> (Levi, Finland)</strong>.</p> </li> <li> <p>2023/03/14: Invited talk on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization (preprint <a href="https://arxiv.org/abs/2205.15784" rel="external nofollow noopener" target="_blank">here</a>) @ <strong><a href="https://bayescomp-isba.github.io/SatelliteNoLikelihoods.html" rel="external nofollow noopener" target="_blank">Bayesian computing without exact likelihoods workshop</a> (Levi, Finland)</strong>.</p> </li> </ul> <h2 class="year">2022</h2> <ul> <li> <p>2022/12/16: Contributed talk (travel award session) on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization (preprint <a href="https://arxiv.org/abs/2205.15784" rel="external nofollow noopener" target="_blank">here</a>) @ <strong>ICSDS 2022 (Florence, Italy)</strong>.</p> </li> <li> <p>2022/11/17: Seminar on Training Generative Networks via Scoring Rule Minimization (preprints <a href="https://arxiv.org/abs/2112.08217" rel="external nofollow noopener" target="_blank">here</a> and <a href="https://arxiv.org/abs/2205.15784" rel="external nofollow noopener" target="_blank">here</a>) @ <strong><a href="https://www.cbl-cambridge.org/" rel="external nofollow noopener" target="_blank">Computational and Biological Learning Lab</a>, University of Cambridge</strong> (invited by prof. David Krueger).</p> </li> <li> <p>2022/10/28: Invited presentation on Stochastic Gradient MCMC sampling for the <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">Scoring Rule posterior</a> @ <strong><a href="https://conferences.cirm-math.fr/2635.html" rel="external nofollow noopener" target="_blank">Fusion workshop</a> at CIRM (Marseille, France)</strong>.</p> </li> <li> <p>2022/08/23: Contributed talk on Training Generative Networks via Scoring Rule Minimization (preprints <a href="https://arxiv.org/abs/2112.08217" rel="external nofollow noopener" target="_blank">here</a> and <a href="https://arxiv.org/abs/2205.15784" rel="external nofollow noopener" target="_blank">here</a>) @ <strong>CompStat 2022 (Bologna, Italy)</strong>.</p> </li> <li> <p>2022/07/25: Seminar on my <a href="https://arxiv.org/abs/2112.08217" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization @ Predictability of weather group (prof. Tim Palmer) at the <strong>University of Oxford</strong>, UK.</p> </li> <li> <p>2022/06/30: Contributed talk on my <a href="https://arxiv.org/abs/2205.15784" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization @ <strong>
1BaYSM 2022 (Montreal, Canada)</strong>.</p> </li> <li> <p>2022/06/30: Contributed talk on my <a href="https://arxiv.org/abs/2205.15784" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization @ <strong>ISBA 2022 World Meeting (Montreal, Canada)</strong>.</p> </li> <li> <p>2022/06/15: Invited presentation at the <a href="https://youngstats.github.io/post/2022/02/08/recent-advances-in-approximate-bayesian-inference/" rel="external nofollow noopener" target="_blank">YoungStatS One World webinar on Approximate Bayesian Inference</a>. I presented my <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators. Video available <a href="http://www.youtube.com/watch?v=Ee-qmAIwrxs" rel="external nofollow noopener" target="_blank">here</a>.</p> </li> <li> <p>2022/06/01: (Online) seminar on my <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ <strong>Generalized Bayes Reading Group</strong>.</p> </li> <li> <p>2022/02/07: (Online) Seminar on my <a href="https://arxiv.org/abs/2112.08217" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization @ Computational Statistics group (prof. Tilmann Gneiting) at the <strong>Heidelberg Institute for Theoretical Studies</strong>, Germany.</p> </li> </ul> <h2 class="year">2021</h2> <ul> <li> <p>2021/12/14: Seminar on my <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ <strong>Università della Svizzera Italiana</strong>, Lugano, Switzerland.</p> </li> <li> <p>2021/10/08: Seminar on my <a href="https://arxiv.org/abs/2012.10903" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Score matched conditional exponential families for Likelihood-Free Inference @ <a href="https://warwick.ac.uk/fac/sci/statistics/news/algorithms-seminars/" rel="external nofollow noopener" target="_blank">ACIIS seminar series</a>, <strong>University of Warwick</strong>, Coventry.</p> </li> <li> <p>2021/07/13: (Online) Seminar on the <a href="https://github.com/eth-cscs/abcpy" rel="external nofollow noopener" target="_blank">ABCpy package</a> for Likelihood Free Inference @ Oxford Research Software Engineering (RSE) group, <strong>University of Oxford</strong>.</p> </li> <li> <p>2021/06/28: Contributed talk on my <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ <strong>ISBA 2021 World Meeting</strong> (online) [pre-recorded video <a href="https://www.youtube.com/watch?v=mqlbVzTxgaQ" rel="external nofollow noopener" target="_blank">here</a>].</p> </li> <li> <p>2021/06/03: (Online) seminar on my <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ Warwick Machine Learning Reading Group, <strong>University of Warwick</strong>, Coventry.</p> </li> <li> <p>2021/06/02: (Online) seminar on my <a href="https://arxiv.org/abs/2104.03889" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Generalized Bayesian Likelihood-Free Inference Using Scoring Rules Estimators @ DCE Reading Group, <strong>Turing Institute</strong>, London.</p> </li> <li> <p>2021/04/12: (Online) Introduction to the <a href="https://github.com/eth-cscs/abcpy" rel="external nofollow noopener" target="_blank">ABCpy package</a> for Likelihood Free Inference @ <a href="https://sites.google.com/view/abcinsvalbard/home" rel="external nofollow noopener" target="_blank">ABC (not) in Svalbard</a>. [Youtube recording <a href="https://www.youtube.com/watch?v=cf2uNo0UEBs" rel="external nofollow noopener" target="_blank">here</a>].</p> </li> <li> <p>2021/02/12: (Online) seminar on my <a href="https://arxiv.org/abs/2012.10903" rel="external nofollow noopener" target="_blank">arXiv preprint</a> on Score matched conditional exponential families for Likelihood-Free Inference @ <strong>Imperial College</strong>, London.</p> </li> </ul> <h2 class="year">2020</h2> <ul> <li> <p>2020/10/21: Data Science Seminar on my work on Score matched conditional exponential families for Likelihood-Free Inference @ <strong>Università della Svizzera Italiana</strong>, Lugano, Switzerland.</p> </li> <li> <p>2020/09/14: (Online) Introduction to Approximate Bayesian Computation seminar @ <a href="https://www2.physics.ox.ac.uk/research/predictability-of-weather-and-climate" rel="external nofollow noopener" target="_blank">Predictability of Weather and Climate group</a>, Department of Physics, <strong>University of Oxford</strong>.</p> </li> </ul> </article> </div> </div> <footer class="fixed-bottom" role="contentinfo"> <div class="container mt-0"> © Copyright 2026 Lorenzo Pacchiardi. Powered by <a href="https://jekyllrb.com/" target="_blank" rel="external nofollow noopener">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio" rel="external nofollow noopener" target="_blank">al-folio</a> theme. Hosted by <a href="https://pages.github.com/" target="_blank" rel="external nofollow noopener">GitHub Pages</a>. Photos from <a href="https://unsplash.com" target="_blank" rel="external nofollow noopener">Unsplash</a>. Last updated: September 21, 2026. </div> </footer> 
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