| Learning Collaborative Policies to Solve NP-hard Routing Problems M Kim, J Park, J Kim NeurIPS, 2021 | 93 | 2021 |
| Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization M Kim, J Park, J Park NeurIPS, 2022 | 60 | 2022 |
| Transformer network-based reinforcement learning method for power distribution network (PDN) optimization of high bandwidth memory (HBM) H Park, M Kim, S Kim, K Kim, H Kim, T Shin, K Son, B Sim, S Kim, S Jeong, ... IEEE Transactions on Microwave Theory and Techniques, 2022 | 21 | 2022 |
| Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization J Son*, M Kim*, H Kim, J Park ICML, 2023 | 18* | 2023 |
| Local Search GFlowNets M Kim, T Yun, E Bengio, D Zhang, Y Bengio, S Ahn, J Park ICLR (Spotlight paper), 2024 | 13 | 2024 |
| Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark F Berto*, C Hua*, J Park*, M Kim, H Kim, J Son, H Kim, J Kim, J Park NeurIPS, Oral Paper in Workshop Track (New Frontiers in Graph Learning), 2023 | 13* | 2023 |
| Learning to Scale Logits for Temperature-conditional GFlowNets M Kim*, J Ko*, T Yun*, D Zhang, L Pan, W Kim, J Park, E Bengio, ... ICML, 2024 | 10 | 2024 |
| Reinforcement-learning-based signal integrity optimization and analysis of a scalable 3-d x-point array structure K Son, M Kim, H Park, D Lho, K Son, K Kim, S Lee, S Jeong, S Park, ... IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021 | 10 | 2021 |
| Reinforcement learning-based auto-router considering signal integrity M Kim, H Park, S Kim, K Son, S Kim, K Son, S Choi, G Park, J Kim IEEE EPEPS, 2020 | 10 | 2020 |
| Bootstrapped training of score-conditioned generator for offline design of biological sequences M Kim, F Berto, S Ahn, J Park NeurIPS, 2023 | 9 | 2023 |
| Policy gradient reinforcement learning-based optimal decoupling capacitor design method for 2.5-d/3-d ics using transformer network H Park, M Kim, S Kim, S Jeong, S Kim, H Kang, K Kim, K Son, G Park, ... IEEE EDAPS, 2020 | 9 | 2020 |
| DevFormer: A Symmetric Transformer for Context-Aware Device Placement H Kim*, M Kim*, F Berto, J Kim, J Park ICML, 2023 | 8* | 2023 |
| Design and analysis of thermal transmission line based embedded cooling structures for high bandwidth memory module and 2.5 D/3D ICs K Son, S Kim, S Park, H Park, K Kim, T Shin, M Kim, K Son, G Park, ... IEEE EDAPS, 2020 | 8 | 2020 |
| Learning Energy Decompositions for Partial Inference of GFlowNets H Jang, M Kim, S Ahn ICLR (Oral paper), 2024 | 7 | 2024 |
| Equity-Transformer: Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context J Son*, M Kim*, S Choi, J Park AAAI, 2024 | 7* | 2024 |
| Deep reinforcement learning framework for optimal decoupling capacitor placement on general PDN with an arbitrary probing port H Kim, H Park, M Kim, S Choi, J Kim, J Park, S Kim, S Kim, J Kim IEEE EPEPS, 2021 | 7 | 2021 |
| Deep reinforcement learning-based through silicon via (TSV) array design optimization method considering crosstalk K Kim, H Park, D Lho, M Kim, K Son, K Son, S Kim, T Shin, S Choi, J Kim IEEE EDAPS, 2020 | 7 | 2020 |
| Improved off-policy training of diffusion samplers M Sendera, M Kim, S Mittal, P Lemos, L Scimeca, J Rector-Brooks, ... arXiv preprint arXiv:2402.05098, 2024 | 6* | 2024 |
| Thermal and signal integrity co-design and verification of embedded cooling structure with thermal transmission line for high bandwidth memory module K Son, S Kim, H Park, T Shin, K Kim, M Kim, B Sim, S Kim, G Park, S Park, ... IEEE Transactions on Components, Packaging and Manufacturing Technology, 2022 | 6 | 2022 |
| Sequential policy network-based optimal passive equalizer design for an arbitrary channel of high bandwidth memory using advantage actor critic S Choi, M Kim, H Park, K Son, S Kim, J Kim, J Park, H Kim, T Shin, K Kim, ... IEEE EPEPS, 2021 | 6 | 2021 |
Jinkyoo ParkDepartment of Industrial and Systems Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
