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Sejin Kim

Identifiers

  • name variant Sejin Kim 0.60 · backfill

Papers (19)

  1. Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining cs.LG · 2024 · author #3
  2. DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation cs.LG · 2024 · author #3
  3. Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task cs.AI · 2024 · author #4
  4. System 2 Reasoning for Human-AI Alignment: Generality and Adaptivity via ARC-AGI cs.AI · 2024 · author #1
  5. Phase Diagram from Nonlinear Interaction between Superconducting Order and Density: Toward Data-Based Holographic Superconductor hep-th · 2024 · author #1
  6. Addressing and Visualizing Misalignments in Human Task-Solving Trajectories cs.AI · 2024 · author #1
  7. Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL cs.AI · 2024 · author #3
  8. ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning cs.AI · 2024 · author #2
  9. Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus cs.CL · 2024 · author #8
  10. Construction of Superconducting Dome and Emergence of Quantum Critical Region in Holography hep-th · 2023 · author #2
  11. Holography Transformer hep-th · 2023 · author #2
  12. End of the World Perspective to BCFT hep-th · 2023 · author #2
  13. Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer cs.AI · 2023 · author #6
  14. Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning cs.LG · 2022 · author #2
  15. FastCPH: Efficient Survival Analysis for Neural Networks stat.ML · 2022 · author #3
  16. Control of a fly-mimicking flyer in complex flow using deep reinforcement learning cs.LG · 2021 · author #2
  17. Multi-condition multi-objective optimization using deep reinforcement learning cs.LG · 2021 · author #1
  18. A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data cs.LG · 2021 · author #3
  19. Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks cs.LG · 2020 · author #1

Mentions

  • 2410.07866 #1 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2311.01724 #2 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2409.14191 #1 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2410.06523 #1 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2411.17625 #3 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2403.11793 #8 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2410.11338 #3 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2410.11324 #4 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2408.14855 #3 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2407.20806 #2 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2309.13624 #2 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2312.06321 #2 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2306.08204 #6 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2209.05280 #2 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2208.09793 #3 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2110.05945 #1 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2111.03454 #2 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2012.05765 #1 · arxiv_oai · confidence 0.70 Sejin Kim
  • 2101.11935 #3 · arxiv_oai · confidence 0.70 Sejin Kim

Frequent Coauthors