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Machine Learning Seminar

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machine learning mathematical physics commutative algebra algebraic geometry algebraic topology combinatorics differential geometry number theory representation theory

University of Nottingham

Audience:	Researchers in the topic
Seminar series times:	No fixed schedule
Organizers:	Alexander Kasprzyk, Lorenzo De Biase
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Upcoming talks

Past talks

Your time			Speaker	Title
Wed	Apr 05	09:00	Yang-Hui He	Universes as Bigdata: Physics, Geometry and Machine-Learning
Wed	Apr 19	15:00	Christoph Hertrich	Understanding Neural Network Expressivity via Polyhedral Geometry

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Your time			Speaker	Title
Wed	Mar 29	14:00	Eduardo Paluzo-Hidalgo	An introduction to Simplicial-map Neural Networks
Wed	Mar 22	10:00	Patrizio Frosini	Some recent results on the theory of GENEOs and its application to Machine Learning
Wed	Mar 15	15:00	Julia Lindberg	Estimating Gaussian mixtures using sparse polynomial moment systems
Wed	Mar 08	10:00	Nick Vannieuwenhoven	Group-invariant tensor train networks for supervised learning
Wed	Feb 22	16:00	Guido Montufar	Geometry and convergence of natural policy gradient methods
Wed	Feb 15	10:00	Kathlén Kohn	The Geometry of Linear Convolutional Networks
Wed	Feb 08	10:00	Manolis Tsakiris	Unlabelled Principal Component Analysis
Mon	Sep 12	14:00	Anindita Maiti	Non-perturbative Non-Lagrangian Neural Network Field Theories
Fri	Jul 01	13:00	Alexei Vernitski	Using machine learning to solve mathematical problems and to search for examples and counterexamples in pure maths research
Wed	Sep 29	12:00	Tom Oliver	Supervised learning of arithmetic invariants

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