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Minsu Kim

55 papers · 2020–2026 · 14 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Minsu Kim?

7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Jinkyoo Park, Sungsoo Ahn, Yoshua Bengio 21 papers · 2021–2025 · NeurIPS, ICLR, ICML Hide ▲
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 Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning ICLR 2025 MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks ICLR 2025 Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models ICML 2025 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 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 Improved off-policy training of diffusion samplers NeurIPS 2024 Learning Energy Decompositions for Partial Inference in GFlowNets ICLR 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Local Search GFlowNets ICLR 2024 Pessimistic Backward Policy for GFlowNets NeurIPS 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization ICML 2024 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 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization NeurIPS 2022 Learning Collaborative Policies to Solve NP-hard Routing Problems NeurIPS 2021
3 papers whose co-authors appear nowhere else under this name