Warwick Foundation of AI Seminar
(More information can be found on website. Here is a brief and timely update.)
Incoming seminars
Patrick Rebeschini (Oxford), Jan. 28th 2025, 2pm - 3pm, CS1.04
Antonio Vergari (Edinburgh), Feb. 18th 2025, 2pm - 3pm, MB0.08
Cuong V. Nguyen (Durham University), Feb. 25th 2025, 2pm - 3pm, CS1.01
Ilja Kuzborskij (Google Deepmind), March 4th 2025, 2pm - 3pm, CS1.04
Bruno Loureiro (ENS & CNRS) March 11th 2025, 2pm - 3pm, CS1.04
Yingzhen Li (Imperial College), March 25th 2025, 2pm - 3pm, CS1.04
Krikamol Muandet (CISPA), May 13th 2025, 2pm - 3pm, MB0.08
Po Ling Loh (Cambridge), May 28th, 2025, 2pm - 3pm, MB0.08
Marco Mondelli (IST Austria), June 3rd 2025, 2pm - 3pm, MB0.07
Past Seminars
Orr Paradise (UC Berkeley), Models That Prove Their Own Correctness, Jan. 14th 2025, 2pm - 3pm, CS1.04
Razvan Pascanu (Google DeepMind), Resurrecting Recurrent Neural Networks, Nov. 26th 2024, 2pm - 3pm, CS1.04
Ana-Andreea Stoica (Max Planck institute), Multi-objective optimization with societal considerations: a study of RCTs in the presence of competing treatments, Nov. 12th 2024, 2pm - 3pm, MS.03
Ilija Bogunovic (UCL), Robust and Efficient AI Alignment, Oct. 22nd 2025, 2pm - 3pm, CS1.04
Arthur Gretton (UCL), Causal Effect Estimation with Context and Confounders, Oct. 15th 2024, 2pm - 3pm, MS.03 [slides]
René Vidal (University of Pennsylvania), Learning Dynamics of Overparametrized Neural Networks, June 19th 2024, 3pm - 4pm, CS1.04
Francis Bach (INRIA), Physics-informed machine learning as a kernel method, June 18th 2024, 11am - 12pm, MB0.07
Gabriel Peyré (CNRS/ENS), Conservation Laws for Gradient Flows, June 14th 2024, 11am - 12pm, MB0.07 [slides]
Weijie Su (University of Pennsylvania), Addressing Bias and Copyright in Generative AI: Preference Matching and Fair Compensation, June 10th 2024, 2pm - 3pm, MB0.08
Mauricio Álvarez (University of Manchester), Non-linear Latent Force Models, June 7th 2024, 2pm - 3pm, MB0.07
François-Xavier Briol (UCL), Robust and Conjugate Gaussian Process Regression, May 31st 2024, 2pm - 3pm, MB0.07
Jiaxin Shi (Google DeepMind), Spectral Methods and Generative Modeling: A Unifying Perspective, May 24th 2024, 2pm - 3pm, MB0.07
Volkan Cevher (EPFL), Adversarial Training Should Be Cast as a Non-Zero-Sum Game, April 26th 2024, 1pm - 2pm, MB0.07