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Machine Learning and Physics

machine learning Physics

University of Oxford

Audience:	Researchers in the discipline
Seminar series time:	Thursday 15:00-16:00 in your time zone, UTC
Organizers:	Peter Braam, Philipp Windischhofer*
	*contact for this listing

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Upcoming talks

Past talks

Your time			Speaker	Title
Thu	Mar 11	15:00	Prof David Spergel	Determining the Universe's Initial Conditions
Thu	Mar 04	15:00	Prof Terry Lyons	Signatures, trees, and PDEs
Thu	Feb 25	15:00	Prof Lode Pollet	Discovering new phases of matter with unsupervised and interpretable support vector machines
Thu	Feb 18	15:00	Dr Michael Kagan	Generative Model Based Design Optimization and Unfolding
Thu	Feb 11	15:00	Dr Sofia Vallecorsa	Quantum Machine Learning in High Energy Physics
Thu	Feb 04	15:00	Prof Ard Louis	Deep neural networks have an inbuilt Occam's razor
Thu	Jan 28	15:00	Dr Jascha Sohl-Dickstein	Understanding overparameterized neural networks
Thu	Jan 21	15:00	Dr Atilim Gunes Baydin	Probabilistic Programming for Inverse Problems in the Physical Sciences
Thu	Dec 03	15:00	Prof Roger Melko	Reconstructing quantum states with generative models
Thu	Nov 26	15:00	Prof Phiala Shanahan	Provably exact sampling for first-principles theoretical physics
Thu	Nov 19	15:00	Dr Victor Bapst	Unveiling the predictive power of static structure in glassy systems
Thu	Nov 12	15:00	Prof Giuseppe Carleo	Many-body quantum wave functions in the era of machine learning
Thu	Nov 05	15:00	Prof Justin Sirignano	Can Deep Learning Discover the Functional Form of PDEs from Data?
Thu	Oct 29	15:00	Prof Max Tegmark	AI for physics & physics for AI
Thu	Oct 22	14:00	Dr Guillaume Lample	Deep Learning for Symbolic Mathematics
Thu	Oct 15	14:00	Dr Maurizio Pierini	Doing more with less: Deep Learning for Physics at the Large Hadron Collider

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