workshop presentations

This page presents Workshop or Conference papers which is not a official terminal publication (i.e. on-going research).

2023

  1. NeurIPSW
    Learning to scale logits for temperature-conditional GFlowNets
    Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, and Yoshua Bengio
    NeurIPS, Workshop Track (AI4Science) 2023
  2. NeurIPSW
    Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark
    Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, and Jinkyoo Park
    NeurIPS, Oral paper in Workshop track (New Frontiers in Graph Learning) 2023
  3. ICMLW
    Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
    Minsu Kim, Federico Berto, Sungsoo Ahn, and Park Jinkyoo
    In ICML workshop on SPIGM 2023
  4. ICMLW
    Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context
    Jiwoo Son*, Minsu Kim*, Sanghyeok Choi, Hyeonah Kim, and Park Jinkyoo
    In ICML workshop on SODS 2023
  5. ICMLW
    Symmetric Exploration in Combinatorial Optimization is Free!
    Hyeonah Kim, Minsu Kim, Sungsoo Ahn, and Park Jinkyoo
    In ICML workshop on SODS 2023

2022

  1. NeurIPSW
    Scale-conditioned Adaptation for Large Scale Combinatorial Optimization
    Minsu Kim*, Jiwoo Son*, Hyeonah Kim, and Park Jinkyoo
    In NeurIPS Workshop on Distributional Shift 2022
  2. NeurIPSW
    Collaborative Symmetricity Exploitation for Offline Learning of Hardware Design Solver
    Haeyeon Kim*, Minsu Kim*, Joungho Kim, and Park Jinkyoo
    In NeurIPS Workshop on Offline RL 2022
  3. NeurIPSW
    Neural Coarsening Process for Multi-level Graph Combinatorial Optimization
    Hyeonah Kim, Minsu Kim, Changhyun Kwon, and Jinkyoo Park
    In NeurIPS Workshop on Graph Learning 2022

2021

  1. Sequential Policy Network-based Optimal Passive Equalizer Design for an Arbitrary Channel of High Bandwidth Memory using Advantage Actor Critic
    Seonguk Choi, Minsu Kim, Hyunwook Park, Keeyoung Son, Seongguk Kim, Jihun Kim, Joonsang Park, Haeyeon Kim, Taein Shin, Keunwoo Kim, and Joungho Kim
    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
  2. Signal Integrity Analysis of High Speed Channel considering Thermal Distribution
    Keeyoung Son, Seongguk Kim, Minsu Kim, Daehwan Lho, Keunwoo Kim, Hyunwook Park, Gapyeol Park, and Joungho Kim
    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
  3. Deep Reinforcement Learning Framework for Optimal Decoupling Capacitor Placement on General PDN with an Arbitrary Probing Port
    Haeyeon Kim, Hyunwook Park, Minsu Kim, Seonguk Choi, Jihun Kim, Joonsang Park, Seongguk Kim, Subin Kim, and Joungho Kim
    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
  4. Crosstalk-included PAM-4 Worst Eye Diagram Estimation Method for High-speed Serial Links
    Hyunwook Park, Jihun Kim, Minsu Kim, Keunwoo Kim, Boogyo Sim, Daehwan Lho, Taein Shin, Keeyoung Son, Jinwook Song, Youngmin Ku, Jonggyu Park, and Joungho Kim
    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
  5. Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph Representation
    Joonsang Park, Minsu Kim, Seongguk Kim, Keeyoung Son, Taein Shin, Hyunwook Park, Jihun Kim, Seonguk Choi, Haeyeon Kim, Keunwoo Kim, and Joungho Kim
    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
  6. PAM-4 based PCIe 6.0 Channel Design Optimization Method using Bayesian Optimization
    Jihun Kim, Hyunwook Park, Minsu Kim, Seongguk Kim, Seonguk Choi, Keeyoung Son, Joonsang Park, Haeyeon Kim, Jinwook Song, Youngmin Ku, Jonggyu Park, and Joungho Kim
    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
  7. Imitation Learning for Simultaneous Escape Routing
    Minsu Kim, Hyunwook Park, Keeyoung Son, Seongguk Kim, Haeyeon Kim, Jihun Kim, Jinwook Song, Youngmin Ku, Jounggyu Park, and Joungho Kim
    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021

2020

  1. Policy Gradient Reinforcement Learning-based Optimal Decoupling Capacitor Design Method for 2.5-D/3-D ICs using Transformer Network
    Hyunwook Park, Minsu Kim, Subin Kim, Seungtaek Jeong, Seongguk Kim, Hyungmin Kang, Keunwoo Kim, Keeyoung Son, Gapyeol Park, Kyungjune Son, Taein Shin, and Joungho Kim
    In 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) 2020
  2. Design and Analysis of Thermal Transmission Line based Embedded Cooling Structures for High Bandwidth Memory Module and 2.5D/3D ICs
    Keeyoung Son, Subin Kim, Shinyoung Park, Hyunwook Park, Keunwoo Kim, Taein Shin, Minsu Kim, Kyungjune Son, Gapyeol Park, Seungtaek Jeong, and Joungho Kim
    In 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) 2020
  3. Reinforcement Learning-based Auto-router considering Signal Integrity
    Minsu Kim, Hyunwook Park, Seongguk Kim, Keeyoung Son, Subin Kim, Kyunjune Son, Seonguk Choi, Gapyeol Park, and Joungho Kim
    In 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2020
  4. Deep Neural Network-based Lumped Circuit Modeling using Impedance Curve
    Daehwan Lho, Hyunwook Park, Seongguk Kim, Taein Shin, Keunwoo Kim, Kyungjune Son, Hyungmin Kang, Boogyo Sim, Keeyoung Son, Minsu Kim, and Joungho Kim
    In 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) 2020