Jiequn Han
8 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Deep Learning
(5)
Mathematics & Optimization
(3)
Optimization
(3)
Artificial Intelligence
(2)
Architectures
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core AI
(1)
Keywords
recurrent neural network
(2)
approximation theory
(2)
policy gradient
(1)
posterior sampling
(1)
deep learning
(1)
pretraining
(1)
gradient descent
(1)
inverse problem
(1)
machine learning
(1)
linear quadratic regulator
(1)
gradient computation
(1)
generalization
(1)
stochastic optimal control
(1)
continuous time
(1)
optimal control
(1)
optimal transport
(1)
bayesian inference
(1)
differentiable simulation
(1)
linear quadratic control
(1)
multi-agent reinforcement learning
(1)
Papers
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
ICML 2025
Provable Posterior Sampling with Denoising Oracles via Tilted Transport
NeurIPS 2024
Stochastic Optimal Control Matching
NeurIPS 2024
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
L4DC 2023
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks
JMLR 2022
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
ICML 2021
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
ICLR 2021
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
NeurIPS 2018