Jinkyoo Park

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution AAAI 2026 USPR: Learning a Unified Solver for Profiled Routing AAAI 2026 Adaptive teachers for amortized samplers ICLR 2025 Ant Colony Sampling with GFlowNets for Combinatorial Optimization AISTATS 2025 Generative Flows on Synthetic Pathway for Drug Design ICLR 2025 Improved Off-policy Reinforcement Learning in Biological Sequence Design ICML 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games AAAI 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025 MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks ICLR 2025 Neural Genetic Search in Discrete Spaces ICML 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization 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 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Local Search GFlowNets ICLR 2024 Pessimistic Backward Policy for GFlowNets NeurIPS 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization ICML 2024 Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences NeurIPS 2023 DevFormer: A Symmetric Transformer for Context-Aware Device Placement ICML 2023 Learning Efficient Surrogate Dynamic Models with Graph Spline Networks NeurIPS 2023 Learning to CROSS exchange to solve min-max vehicle routing problems ICLR 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Convergent Graph Solvers ICLR 2022 Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022 Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning NeurIPS 2022 Neural Solvers for Fast and Accurate Numerical Optimal Control ICLR 2022 Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization NeurIPS 2022 Transform Once: Efficient Operator Learning in Frequency Domain NeurIPS 2022 Differentiable Multiple Shooting Layers NeurIPS 2021 Learning Collaborative Policies to Solve NP-hard Routing Problems NeurIPS 2021 Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions NeurIPS 2021 Dissecting Neural ODEs NeurIPS 2020 Hypersolvers: Toward Fast Continuous-Depth Models NeurIPS 2020 Multi-Agent Actor-Critic with Hierarchical Graph Attention Network AAAI 2020 WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series IJCAI 2020