Jung Yeon Park
7 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Architectures
(5)
Core Methods
(5)
Artificial Intelligence
(4)
Core AI
(4)
Optimization & Theory
(4)
Reinforcement Learning
(2)
Learning Types
(2)
Methods · Reinforcement Learning
(2)
Data Science & Analytics
(1)
Applications · Reinforcement Learning
(1)
Applications · Data Science & Analytics
(1)
Methods · Data Science & Analytics
(1)
Keywords
equivariant neural network
(3)
reinforcement learning
(2)
representation learning
(2)
robotic manipulation
(1)
data transformation
(1)
geometric deep learning
(1)
tensor decomposition
(1)
behavior cloning
(1)
message passing
(1)
covariate shift
(1)
continuous control
(1)
classification error
(1)
nonlinear dynamics
(1)
generative model
(1)
latent factor model
(1)
partial differential equation
(1)
inductive bia
(1)
world model
(1)
latent factor
(1)
group equivariance
(1)
Papers
Approximate Equivariance in Reinforcement Learning
AISTATS 2025
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
NeurIPS 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
NeurIPS 2023
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
ICLR 2023
Learning Symmetric Embeddings for Equivariant World Models
ICML 2022
Robust Imitation of a Few Demonstrations with a Backwards Model
NeurIPS 2022
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
ICML 2020