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45:34 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Monika Eisenmann	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Monika Eisenmann 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… icms stochastic numerics hilbert space step method gradient size euler scheme problem convergence function setting point points flow batch equation steps error sequence methods result From DIANE HORBERRY on March 31st, 2021 0 likes 11 plays 0 Publisher Diane Hoberry Licence Type All rights reserved Language English Date Created March 31st, 2021
01:01:20 8 March 2021 - Carola-Bibiane Schönlieb… 8 March 2021 - Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning	8 March 2021 - Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published.8 March 2021Carola-Bibiane Schönlieb (University of Cambridge) -… one world numerical analysis owna network networks kind function learning ode input output layers problem problems gradient thing layer linear image training analysis instance continuum From OLLIE Quinn on March 8th, 2021 0 likes 35 plays 0 Licence Type All rights reserved Language English Date Created March 8th, 2021
55:17 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart (Caltech) Inverse Problems Without Adjoints:Ensemble Approaches Automatic subtitles have been added to this… icms stochastic numerics inverse problems gradient flow linear equation ensemble method methods gradient problem model parameter planck inverse problems covariance particles talk particle flow fact space rho From DIANE HORBERRY on March 5th, 2021 0 likes 34 plays 0 Publisher Diane Hoberry Licence Type All rights reserved Language English Date Created March 3rd, 2021
54:18 About some notions of polyconvexity - Anja… About some notions of polyconvexity - Anja Schlomerkemper	About some notions of polyconvexity - Anja Schlomerkemper Continuum Mechanics Seminar Series Anja Schlomerkemper, University of Wuerzburg About some notions of polyconvexity 19 February 2021 To remove the captions from this video press CC on the bottom… mathematics convex function gradient convexity epsilon functions determinant matrix energy symmetric characterization notion dimensions cofactor setting matrices density deformation polio fact From GILLIAN KERR on February 19th, 2021 0 likes 19 plays 0 Licence Type All rights reserved Language english Date Created February 19th, 2021
08:24 Partial Differential Equations, Lecture 8a:… Partial Differential Equations, Lecture 8a: Monotone Methods for Conservation Laws	Partial Differential Equations, Lecture 8a: Monotone Methods for Conservation Laws In this lecture we look at schemes which are not prone to producing the spurious "Gibbs" oscillations we saw in the last lecture. We start b talking about TVD schemes tvd scheme hyperbolic equation partial differential equations scheme function gradient solution functions variation oscillations equations property correction schemes limiter mode 50k curve phi minus inequalities half idea From David Ingram on February 15th, 2021 0 likes 14 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Language English Date Created February 15th, 2021
57:17 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andreas Prohl (Tübingen)	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andreas Prohl (Tübingen) Automatic subtitles have been added to this recording. We are editing the subtitles to reflect the speaker, to turn these off please select "cc", "off". Andreas Prohl… icms discretization methods term space element equation solution pressure stokes gradient divergence analysis context nonlinearity error incompressibility omega problem 3d laplace From DIANE HORBERRY on January 27th, 2021 0 likes 41 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created December 2nd, 2020
56:14 A fluid mechanic's analysis of the teacup… A fluid mechanic's analysis of the teacup singularity - Dwight Barkley	A fluid mechanic's analysis of the teacup singularity - Dwight Barkley EMS talk Dwight Barkley (Warwick) A fluid mechanic's analysis of the teacup singularity 22 January 2021 To remove the captions from this video press CC on the bottom toolbar. mathematics pressure singularity equation flow equations gradient velocity field euler wall thing fact problem direction point swirl plane cylinder things fluid From GILLIAN KERR on January 22nd, 2021 0 likes 10 plays 0 Licence Type All rights reserved Language english Date Created January 22nd, 2021
55:22 Ivan Oseledets 11 January 2021 Machine learning… Ivan Oseledets 11 January 2021 Machine learning and numerical methods	Ivan Oseledets 11 January 2021 Machine learning and numerical methods An automated programme has been used to generate the subtitles on this talk. icms owna function parameters optimization lot functions approximation basis problem model network idea samples linear method networks gradient image class output solution From OLLIE Quinn on January 11th, 2021 0 likes 124 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created January 11th, 2021
19:54 Distillation Lecture 5 2020 part 1 Distillation Lecture 5 2020 part 1	Distillation Lecture 5 2020 part 1 Distillation Lecture 5 2020 component boiling point infinity values points pressure diagram activity slope minimum dilution components vapour gradient fraction temperature From John Christy on December 31st, 2020 0 likes 33 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language English (British) Date Created December 31st, 2020
01:37 Distillation Lecture 1 2020 part 5 Distillation Lecture 1 2020 part 5	Distillation Lecture 1 2020 part 5 Distillation Lecture 1 2020 part 5 plate composition stripping middle question change feed reach sort region seller mumbai saturday court gradient thing sense side plates reason From John Christy on December 24th, 2020 0 likes 33 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language British English Date Created December 24th, 2020
41:16 NLU+ Lecture 6: Recurrant Neural Networks NLU+ Lecture 6: Recurrant Neural Networks	NLU+ Lecture 6: Recurrant Neural Networks Recurrant Neural Networks informatics nlu vector function word things thing input network output words gradient lot models sort sigmoid stuff units networks gates lots model From Ruairi O'Hare on December 22nd, 2020 0 likes 3 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 22nd, 2020
43:17 UK-APASI in Mathematical Sciences: Professor… UK-APASI in Mathematical Sciences: Professor Philip K. Maini (Plenary Talk)	UK-APASI in Mathematical Sciences: Professor Philip K. Maini (Plenary Talk) Subtitles can be turned off by selecting "cc", "turn off" UK-APASI: Plenary Talk Friday 18 December 2020 Professor Philip K. Maini, University of Oxford, UK: Modelling… uk-apasi cells model domain cell leaders crest movement gradient invasion fact chemical growth experiments followers behaviour question biology jeff thing conditions From Liam Holligan on December 21st, 2020 0 likes 33 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created December 17th, 2020
48:25 Likely instabilities in liquid crystal elastomers… Likely instabilities in liquid crystal elastomers - Angela Mihai	Likely instabilities in liquid crystal elastomers - Angela Mihai Continuum Mechanics Seminar Series Angela Mihai (Cardiff University) Likely instabilities in liquid crystal elastomers Friday 18 December 2020 An automated programme is used to generate the subtitles… mathematics deformation stress material crystal rubber model behaviour load probability mu parameters gradient function direction elastomers director parameter striping elasticity variance From GILLIAN KERR on December 18th, 2020 0 likes 36 plays 0 Licence Type All rights reserved Language english Date Created December 18th, 2020
02:24 MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs	MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs Machine Learning Practical (MLP) Lecture 08, Clip 03 / 05. machine learning deep learning gradient convolution input kernel layer From Pavlos Andreadis on November 9th, 2020 1 likes 131 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
06:46 MLP Lecture 08 - Clip 02 - Gradients w.r.t.… MLP Lecture 08 - Clip 02 - Gradients w.r.t. Weights	MLP Lecture 08 - Clip 02 - Gradients w.r.t. Weights Machine Learning Practical (MLP) Lecture 08, Clip 02 / 05. machine learning deep learning layer convolution gradient weights From Pavlos Andreadis on November 9th, 2020 1 likes 146 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
10:51 ML6: Linear Classification ML6: Linear Classification	ML6: Linear Classification In this video, we are introduced to linear classifiers. These have parameters which weight input features, and output a scalar that is used to assign a point to a class. We learn that these… parameters classifier function loss output vector point error linear points respect bias parameter label hair toys times weight gradient minus From Elliot Crowley on November 5th, 2020 0 likes 8 plays 0

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