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Structural Breaks and Shape Constraints Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs Zhou Fan (Yale University) 17 May 2022
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May 19th, 2022
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Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Immersed Method with Metric Based Anisotropic Meh Adaptation for Computational Multiphase Flow Dynamics Thierry…
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May 11th, 2022
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One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems, 02 February 2022 Lukasz Szpruch (University of Edinburgh / Alan Turing Institute) From the theory of (stochastic)…
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08 Nov- 12 Nov 2021ICMS hosted the Convex Integration and Nonlinear Partial Differential Equations workshopNon-uniqueness for the transport equation with Sobolev vector fields Stefano Modena (TU -…
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November 11th, 2021
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08 Nov- 12 Nov 2021
ICMS
hosted the Convex Integration and Nonlinear Partial Differential Equations workshop
Rigidity and Flexibility in the Modelling of Shape-Memory Alloys
Angkana Ruland…
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Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Approximate Proximal-Gradient Methods" Speaker: Anis Hamadouche, Heriot-Watt…
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September 15th, 2021
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30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Edition Approximating stochastic gradient descent with diffusions: error expansions and impact of learning…
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September 2nd, 2021
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30 Aug-
03 Sept 2021
ICMS
hosted the European Summer School in Financial Mathematics 14th Ediition
Neural stochastic differential equations for time series modelling James Foster (University of…
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This talk has been automatically
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Name: Rishikesh Yadav
Talk Title: A flexible Bayesian framework for modeling extreme spatial…
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Centre for Statistics Licence Type
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June 30th, 2021
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This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Clement Dombry Talk Title: Gradient boosting for extreme quantile regression Abstract: Extreme quantile…
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This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Rishikesh Yadav Talk Title: A flexible Bayesian framework for modeling extreme spatial threshold exceedances…
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Subtitles will be added soon. Fred
Vermolen, Finite element method for PDEs: Part II
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Liam Holligan Licence Type
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English Date Created
April 30th, 2021
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Subtitles will be added soon. Fred
Vermolen, Finite element method for PDEs: Part I
Publisher
Liam Holligan Licence Type
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English Date Created
April 30th, 2021
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One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Monika Eisenmann (Lund University) Sub-linear convergence of stochastic optimization methods in Hilbert
space
Automatic…
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Diane Hoberry Licence Type
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March 31st, 2021
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UDRC Themed Meeting on Signal Processing in the Underwater Environment by Sourav Sahoo, National Oceanography
Centre (NOC)
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All rights reserved The University of Edinburgh Date Created
March 30th, 2021
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8 March 2021 Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning Abstract: Over the past few years, deep learning has risen to the foreground as a topic of…
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March 8th, 2021
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