Yulong Lu
7 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Cross-Pollinator (7)
πΊοΈ
Taxonomy Completionist
(15)
π
Grand Slam
Conferences
ICML (2)
NIPS (2)
AAAI (1)
COLT (1)
ICLR (1)
Top co-authors
Keywords
partial differential equation
(3)
neural network approximation
(2)
transfer learning
(1)
optimal transport
(1)
global convergence
(1)
neural network optimization
(1)
probability distribution
(1)
simulated annealing
(1)
generalization error
(1)
complexity bound
(1)
deep neural network
(1)
entropy regularization
(1)
operator learning
(1)
residual network
(1)
neural operator
(1)
gradient descent ascent
(1)
two-layer neural network
(1)
mean-field game
(1)
elliptic pde
(1)
deep operator network
(1)
Papers
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
ICLR 2024
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
ICML 2023
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
AAAI 2023
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations
COLT 2021
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
NIPS 2021
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
ICML 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions
NIPS 2020