Search for tag: "approximation"

Alice Pellet-Mary - Some Attacks on Algebraic Lattice Problems

Subtitles will be added at a later date. 27 July 2022 Foundations and Applications of Lattice-based Cryptography Alice Pellet-Mary, Bordeaux University Some Attacks on Algebraic Lattice Problems

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Robust and Adaptive Estimation of a Density on the Line under a Shape - Yannick Baraud

Structural Breaks and Shape Constraints Robust and Adaptive estimation of a Density on the Line under a Shape Constraint Yannick Baraud (University of Luxembourg) 19 May 2022

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Diagonal Cubic Hypersurfaces over F_q(t) - Leonhard Hochfilzer

Rational Points on Higher Dimensional Varieties Diagonal Cubic Hypersurfaces over F_q(t) Leonhard Hochfilzer (Göttingen University) 27 April 2022

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Semi-Integral Points and Quadrics - Sam Streeter

Rational Points on Higher-Dimensional Varieties Semi-Integral Points and Quadrics Sam Streeter (University of Bristol) 26 April 2022

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Brauer-Manin Obstruction at Primes with Good Reduction - Margherita Pagano

Rational Points on Higher-Dimensional Varieties Brauer-Manin Obstruction at Primes with Good Reduction Margherita Pagano (Leiden University) 26 April 2022

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Stein-Based Preconditioners for Weak-Constraint 4D-Var - Davide Palitta

Recent Advances in Numerical Linear Algebra for PDEs, Optimisation, and Data Assimilation Stein-Based Preconditioners for Weak-Constraint 4D-Var Davide Palitta (Alma Mater Studorium,…

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Preconditioning for Data Assimilation Problems - Alison Ramage

Recent Advances in Numerical Linear Algebra for PDEs, Optimisation, and Data Assimilation Preconditioning for Data Assimilation Problems Alison Ramage (University of Strathclyde)

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Fast and Even Faster Sampling of Parameterised Gaussian Random Fields - Jonas Latz

Recent Advances in Numerical Linear algebra for PDEs, Optimisation, and Data Assimilation Fast and Even Faster Sampling of Parameterised Gaussian Random Fields Jonas Latz (Heriot-Watt University)

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7 March 2022: Katharina Schratz (Sorbonne University) - Resonances as a computational tool

Katharina Schratz (Sorbonne University) - Resonances as a computational tool This recording is subtitled. You can turn off the subtitles by pressing CC.

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21 February 2022: Andrea Moiola (University of Pavia) - Stable approximation of Helmholtz solutions by evanescent plane waves

Andrea Moiola (University of Pavia) - Stable approximation of Helmholtz solutions by evanescent plane waves This recording is subtitled. You can turn off the subtitles by pressing CC.

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One World SNIPS: Sebastian Reich

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems, 16 February 2022 Sebastian Reich (University of Potsdam) Frequentist perspective on robust parameter estimation using the…

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7 February 2022: Matthew Colbrook (University of Cambridge) - Data-driven numerical analysis of Koopman operators for dynamical systems

Matthew Colbrook (University of Cambridge) - Data-driven numerical analysis of Koopman operators for dynamical systems This recording is subtitled. You can turn off the subtitles by pressing CC.

From  Iain Cms 0 likes 32 plays 0  

Waves in Complex Continua (Wavinar) - Daan Huybrechs (KU Leuven, Belgium)

Subtitles can be turned off by selecting CC. 07.12.21 Daan Huybrechs (KU Leuven, Belgium) - Non-polynomial discretizations of wave problems: accuracy and stability

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Higgs Hour with Anton Ilderton 'Strong field QED: probing fundamental physics with intense lasers'

I will give an overview of efforts to probe non-perturbative structures in QED using intense laser fields, beginning with an introduction to the Furry expansion of observables in strong…

From  Ines Foidl 0 likes 19 plays 0  

Aretha Teckentrup (Edinburgh) - Surrogate models in Bayesian inverse problems

This recording is in the process of being subtitled. We aim to have edited captions available within 2 weeks of publishing. 18 October 2021 Aretha Teckentrup (Edinburgh) - Surrogate models in…

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OW SNIPS - Emmanuel Gobet (Ecole Polytechnique)

Subtitles will be available soon. 20.10.21 Emmanuel Gobet (Ecole Polytechnique) - How to generate the path of Fractional Brownian motion with a ReLU-Neural Networks

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