Jinkyoo Park

papers

846

total citations

papers (20)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

NEURIPS 2023arXiv

citations

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

AAAI 2024arXiv

citations

Transform Once: Efficient Operator Learning in Frequency Domain

NEURIPS 2022arXiv

citations

Differentiable Multiple Shooting Layers

NEURIPS 2021arXiv

citations

Adaptive teachers for amortized samplers

ICLR 2025arXiv

citations

Generative Flows on Synthetic Pathway for Drug Design

ICLR 2025arXiv

citations

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

CVPR 2025arXiv

citations

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions

NEURIPS 2021arXiv

citations

Improved Off-policy Reinforcement Learning in Biological Sequence Design

ICML 2025arXiv

citations

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

ICML 2024arXiv

citations

Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

NEURIPS 2023arXiv

citations

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks

ICLR 2025arXiv

citations

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning

NEURIPS 2022arXiv

citations

Learning Strategy Representation for Imitation Learning in Multi-Agent Games

AAAI 2025arXiv

citations

Jinkyoo Park

papers (20)

Dissecting Neural ODEs

Learning Collaborative Policies to Solve NP-hard Routing Problems

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Local Search GFlowNets

Hypersolvers: Toward Fast Continuous-Depth Models

Learning to Scale Logits for Temperature-Conditional GFlowNets

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Transform Once: Efficient Operator Learning in Frequency Domain

Differentiable Multiple Shooting Layers

Adaptive teachers for amortized samplers

Generative Flows on Synthetic Pathway for Drug Design

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions

Improved Off-policy Reinforcement Learning in Biological Sequence Design

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning

Learning Strategy Representation for Imitation Learning in Multi-Agent Games

papers (20)

Dissecting Neural ODEs

Learning Collaborative Policies to Solve NP-hard Routing Problems

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Local Search GFlowNets

Hypersolvers: Toward Fast Continuous-Depth Models

Learning to Scale Logits for Temperature-Conditional GFlowNets

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Transform Once: Efficient Operator Learning in Frequency Domain

Differentiable Multiple Shooting Layers

Adaptive teachers for amortized samplers

Generative Flows on Synthetic Pathway for Drug Design

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions

Improved Off-policy Reinforcement Learning in Biological Sequence Design

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning

Learning Strategy Representation for Imitation Learning in Multi-Agent Games