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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Talk at the CogX 2020
Published:
I gave a talk at the CogX 2020, ‘Foundational AI: a mathematician’s take’. Slides and video.
New tool: deadlines countdowns for major AI/ML conferences
Published:
New useful tool: deadlines countdowns for major AI/ML conferences, forked from ai-deadlines.
New website!
Published:
New version of my website, powered by academicpages.
portfolio
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Quasi-Bayesian learning
Published:
Link to the workshop.
Foundational AI: a mathematician’s take
Published:
I gave a talk at CogX 2020 as part of the workshops organised by the UCL Centre for Artificial Intelligence. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by A walkthrough of advanced PAC-Bayes results
Published:
I gave a talk at our Foundational AI CDT Seminar Series. You can access the slides and video recording.
15 Minutes Meets with Benjamin Guedj
Published:
I was interviewed by Mark Richardson (Centre for AI, UCL) as part of the 15 Minutes Meets interview series. Lockdown, forthcoming ICML and COLT, future of AI: check out the video!
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
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I gave a talk at the RIKEN AIP seminar series. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the Modal seminar series. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the Warwick Computer Science Colloquium. You can access the slides and the video.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the 2020 International Forum on Statistics and Data Science, organised by the Center China Normal University. You can access the slides.
A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at UCL Statistical Science Seminar. You can access the slides and the video.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the OxCSML Seminar. You can access the slides and the video (see the entire series here).
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the Chalmers Machine Learning Seminar. You can access the slides.
Covid-19 and AI: unexpected challenges and lessons
Published:
I served as chair (and co-organiser) for a webinar organised by the French Embassy to the United Kingdom, in partnership with The Inria London Programme and the Franco-British Data Society. Speakers were Dr. Emilie Chouzenoux, Pr. Mihaela van der Schaar, Dr. Hugues Berry, Pr. Geraint Rees, Dominic Cushnan and myself.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the LPSM Seminar – certainly the one talk (out of many I gave since the pandemic) I wish I could have delivered in person, as this is the lab where I did my MSc and PhD (a while ago)! You can access the slides.
On generalisation and learning: Generalisation bounds for deep neural networks
Published:
I gave a talk at the 52èmes Journées de Statistique, the annual flagship conference of the French Statistical Society (SFdS), as part of the topical session by the MALIA group of which I am a founder and former president. You can access the slides.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the London Mathematical Society Computer Science Colloquium. You can access the slides slides.
The Inria London Programme: an ambitious scientific joint venture between France and the UK
Published:
I gave a presentation on the Inria London Programme as part of the visit of the Delegation of the European Union to the UK, Embassy of Slovenia and IRCAI at the UCL Centre for Artificial Intelligence. You can access the programme here.
On generalisation and learning: A (condensed) primer on PAC-Bayesian Learning followed by News from the PAC-Bayes frontline
Published:
I gave a talk at the 2nde journée MAS-MODE de la SMAI. First in-person talk in over 30 months! You can access the slides.
Quelles mathématiques derrière l’informatique ?
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I was a panel member at the Journées Scientifiques Inria, on “Quelles mathématiques derrière l’informatique ?” video (in French).
On generalisation and learning: towards principled frugal AI
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I gave a talk at the IXXI seminar. You can access the slides.
The existential risks of AI
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I was a speaker and panel member at a discussion on “The existential risks of AI” organised by Natixis CIB and the Franco-British Data Society. Video
On generalisation and learning: towards principled frugal AI
Published:
I gave a talk at the weekly seminar of the Department of Statistics at the University of Oxford. You can access the slides.
On generalisation and learning: some theoretical results for deep learning
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I gave a talk at the seminar of the Département d’informatique at Université Laval. You can access the slides.
Comparing Comparators in Generalisation bounds
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I gave a plenary talk at the workshop Advances in post-Bayesian methods. You can access the slides and the recording.
On generalisation and learning
Published:
I gave a talk at the Erlangen AI Hub conference 2025, see also this link. You can access the slides.
Artificial intelligence from a statistical perspective
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I gave the closing keynote at the D3A Conference 3.0 2025 in lovely Nyborg. You can access the slides.
Women and STEM: Shaping the Future in AI and Education
Published:
I co-organised with Séverine Trouillet a workshop at the British Embassy in Paris, entitled “Women and STEM: Shaping the Future in AI and Education”, and served as moderator to the discussion. This was part of a series of workshops organised via the Franco-British Data Society, of which I am a director. You can watch the video produced by the British Embassy, or read the summary Séverine and I wrote.
When Law meets Code: Technical Hurdles in Implementing AI regulation
Published:
I gave a talk at the International Workshop “Shaping the Future of Artificial Intelligence and Regulation” in Montréal, Canada. You can access my slides and the report summarising the workshop.
On generalisation and learning
Published:
I gave a research talk at MBZUAI in Abu Dhabi. You can access the slides.
Rethinking generalisation: beyond KL with geometry and comparators
Published:
I gave one of the talks of the PAC-Bayes chapter of the PostBayes seminar. You can access the slides and the recording.
Probabilistic machine learning against disinformation
Published:
I gave a 20 minutes talk on probabilistic machine learning at the International Crime Sciences Conference 2025 in London. You can access the slides.
Comet Explore: IA et souveraineté
Published:
J’ai eu le plaisir de articiper à la première édition de Comet Explore, le rendez-vous consacré à l’intelligence artificielle organisé par l’entreprise Comet et son réseau. L’évènement s’est ouvert par une conversation avec mon ami Laurent Potel (CEO de Comet) “Conversation et regards croisés sur l’IA : comprendre, anticiper, transformer”, avant de se poursuivre avec une table ronde “Confiance, performance, souveraineté : le triple défi de l’IA européenne” à laquelle j’ai également participé. Avec les équipes de Comet, nous avons produit un livret de synthèse.
Rethinking generalisation: beyond KL with geometry and comparators
Published:
I gave a talk at the IMAG seminar of the University of Montpellier. You can access the slides.
On generalisation and learning
Published:
I gave a talk at NYU Abu Dhabi. You can access the slides.
Rethinking generalisation: beyond KL with geometry and comparators
Published:
I gave a plenary talk at the Centre Inria de l’Université Côte d’Azur as part of a great workshop organised by Samir Perlaza. You can access the slides and the recording.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.