Hyeonah Kim
7 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(3)
Models
(3)
Optimization
(3)
Reinforcement Learning
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types
(2)
Methods
(2)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
combinatorial optimization
(3)
deep reinforcement learning
(2)
genetic algorithm
(2)
sample efficiency
(2)
off-policy learning
(1)
amortized inference
(1)
generative model
(1)
policy training
(1)
noise injection
(1)
policy exploration
(1)
generative flow network
(1)
drug discovery
(1)
molecular design
(1)
sequential planning
(1)
stochastic search
(1)
scale adaptation
(1)
guided exploration
(1)
min-max routing
(1)
multi-agent traveling salesman
(1)
equitable workload distribution
(1)
Papers
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
AISTATS 2025
Improved Off-policy Reinforcement Learning in Biological Sequence Design
ICML 2025
Neural Genetic Search in Discrete Spaces
ICML 2025
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context
AAAI 2024
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
NeurIPS 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
ICML 2024
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
ICML 2023