Yulong Lu
8 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Research topics
Deep Learning
(7)
Machine Learning
(7)
Optimization & Theory Β· Machine Learning
(7)
Architectures
(4)
Mathematics & Optimization
(3)
Models
(3)
Optimization & Theory Β· Deep Learning
(3)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Generation
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
neural network approximation
(3)
partial differential equation
(3)
barron space
(2)
two-layer neural network
(2)
global convergence
(1)
flow matching
(1)
image generation
(1)
simulated annealing
(1)
optimal transport
(1)
generalization error
(1)
curse of dimensionality
(1)
score matching
(1)
complexity bound
(1)
gaussian mixture model
(1)
deep neural network
(1)
probability distribution
(1)
multimodal distribution
(1)
entropy regularization
(1)
diffusion model
(1)
neural network optimization
(1)
Papers
Flow Matching for Multimodal Distributions
CVPR 2026
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
ICLR 2024
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
AAAI 2023
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
ICML 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
NeurIPS 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
NeurIPS 2020