Jiequn Han
8 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (7) π§ Keyword Pioneer π Cross-Pollinator (8)
πΊοΈ
Taxonomy Completionist
(20)
π
Interdisciplinary Bridge
π
Cross-Pollinator
(8)
π
Keyword Champion
π₯
Unstoppable
(5)
π
Trend Setter
Conferences
NIPS (3)
ICML (2)
ICLR (1)
JMLR (1)
L4DC (1)
Top co-authors
Research topics
Keywords
bayesian inference
(1)
policy gradient
(1)
optimal transport
(1)
posterior sampling
(1)
deep learning
(1)
optimal control
(1)
machine learning
(1)
linear quadratic regulator
(1)
gradient computation
(1)
stochastic optimal control
(1)
continuous time
(1)
inverse problem
(1)
recurrent neural network
(1)
approximation theory
(1)
differentiable simulation
(1)
cross-entropy loss
(1)
score-based diffusion
(1)
denoising oracle
(1)
log-concave sampling
(1)
multi-agent reinforcement learning
(1)
Papers
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
ICML 2025
Stochastic Optimal Control Matching
NIPS 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport
NIPS 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
NIPS 2018