Continuum Attention for Neural Operators

preview_player
Показать описание
Matthew Levine, Broad Institute of MIT/Harvard
July 11, 2024
  1. Fields Institute
Рекомендации по теме
Continuum Attention for 0:24:03

Continuum Attention for Neural Operators

Learning Operators with 1:46:05

Learning Operators with Coupled Attention || Feb 11, 2022

Deep Learning 7. 1:40:19

Deep Learning 7. Attention and Memory in Deep Learning

Exploiting Symmetries in 0:54:29

Exploiting Symmetries in Inference and Learning

Prof. Panayotis Kevrekidis 0:59:17

Prof. Panayotis Kevrekidis | Plenary talk: Dispersive shock waves from discrete to continuum

Neural representations of 0:47:00

Neural representations of faces, bodies, and objects in ventral temporal cortex

Approximating functions, functionals 1:07:17

Approximating functions, functionals and operators with neural networks for diverse applications

George Karniadakis: Approximating 1:03:21

George Karniadakis: Approximating functions, functionals and operators with neural networks

Nicola Quercioli (1/13/21): 0:24:57

Nicola Quercioli (1/13/21): Group equivariant non-expansive operators and their use in Deep Learning

From Neural PDEs 1:31:17

From Neural PDEs to Neural Operators: Blending data and physics by Prof. George Karniadakis

Introduction to Physics 1:55:33

Introduction to Physics Informed Machine Learning

Vu Chau: Non-parametric 1:04:52

Vu Chau: Non-parametric data-driven constitutive modelling using artificial neural networks.

CHCI 2018: Epistemic 1:25:04

CHCI 2018: Epistemic Accelerations and Algorithmic Cultures

I try the 0:16:50

I try the tech that WILL replace CG one day

Operator Learning: Algorithms, 1:04:33

Operator Learning: Algorithms, Analysis and Applications

Michael Unser: 'Splines 0:48:51

Michael Unser: 'Splines and imaging: From compressed sensing to deep neural networks'

AJS -Lorenzo Portinale- 0:47:45

AJS -Lorenzo Portinale- Discrete-to-Continuum Limits of Transport Problems/Gradient-Flow Evolutions

Dr. Paris Perdikaris 0:58:43

Dr. Paris Perdikaris -- Supervised and physics-informed learning in function spaces

Constitutive Artificial NNs 2:21:23

Constitutive Artificial NNs || Finite elements with deep neural operators || June 17, 2022

Koopman Meets Soft 0:20:55

Koopman Meets Soft Robots

OHBM 2024 | 0:40:03

OHBM 2024 | Educational Course | Connectome-based models of wholebrain dynamics | Part 3

The Quantum Fourier 1:38:31

The Quantum Fourier Transform Has Small Entanglement | Quantum Colloquium

kgml2021: Closing Session 0:35:11

kgml2021: Closing Session (ML2), George Karniadakis, Brown University

Operator Learning Without 0:24:58

Operator Learning Without the Adjoint