Prof. Anthony Nouy | Optimal sampling: from linear to nonlinear approximation

preview_player
Показать описание
Title: Optimal sampling: from linear to nonlinear approximation
Speaker: Professor Anthony Nouy (Université de Nantes)
Date: 16th Jul 2024 - 9:30 to 10:10

Event: (DREW01) Multivariate approximation, discretization, and sampling recovery

-------------------

FOLLOW US

SEMINAR ROOMS

ABOUT
The Isaac Newton Institute is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. It attracts leading mathematical scientists from the UK and overseas to interact in research over an extended period.

  1. INI Seminar Room 1
  2. INI
  3. Isaac Newton Institute
  4. Isaac Newton Institute for Mathematical Sciences
  5. Isaac Newton
  6. Mathematical Sciences
Рекомендации по теме
Prof. Anthony Nouy 0:44:40

Prof. Anthony Nouy | Optimal sampling: from linear to nonlinear approximation

Anthony Nouy: 'Approximation 0:31:07

Anthony Nouy: 'Approximation and learning with tree tensor networks'

Anthony Nouy: Approximation 2:04:46

Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 1

Anthony Nouy - 0:51:43

Anthony Nouy - Learning with tree tensor networks

Anthony Nouy: Approximation 2:07:49

Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 2

Anthony Nouy: Adaptive 1:07:44

Anthony Nouy: Adaptive low-rank approximations for stochastic and parametric equations [...]

Tensor network technique 1:05:50

Tensor network technique for stochastic process

Jamie Haddock - 0:50:47

Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA

On Approximation Guarantees 0:30:28

On Approximation Guarantees for Greedy Low Rank Optimization

Time Integration of 0:45:51

Time Integration of Tree Tensor Networks

The Kikuchi Hierarchy 0:22:01

The Kikuchi Hierarchy and Tensor PCA

Optimization On Tensor 0:50:51

Optimization On Tensor Network Varieties

NIPS 2011 Sparse 0:36:59

NIPS 2011 Sparse Representation & Low-rank Approximation Workshop: Fast global convergence...

Simone Montangero - 0:42:16

Simone Montangero - Tensor network algorithms for high-dimensional quantum many-body systems

Frank Verstraete: 'Mathematical 1:23:44

Frank Verstraete: 'Mathematical Aspects of Tensor Networks (Part 1/2)'

Exact contraction of 0:45:55

Exact contraction of tensor networks - hypergraphs and optimized trees - Johnnie Gray

Miles Stoudenmire: 'Tensor 0:31:18

Miles Stoudenmire: 'Tensor Networks for Machine Learning and Applications'

Talk by Stefano 0:30:41

Talk by Stefano Massei (Eindhoven University of Technology)

Tensor network-based machine 1:00:01

Tensor network-based machine learning of non-Markovian quantum processes

Jens Eisert, TNs 1:14:17

Jens Eisert, TNs as a data structure in probabilistic modelling and for learning dynamical laws

Alessandra Bernardi: 'On 0:32:21

Alessandra Bernardi: 'On the Dimension of Tensor Network Varieties'

Dario Poletti: Tensor 0:52:03

Dario Poletti: Tensor networks for classical and quantum machine learning tasks

invited 2: Low 0:40:54

invited 2: Low Rank Tensor Completion and its Applications - Michael Ng

Overcoming the curse 0:59:52

Overcoming the curse of dimensionality for some HJ equations via neural network, Jerome Darbon@Brown