Jaemin Seo

According to our database, Jaemin Seo authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression.

Zhirui Dai, Tianxing Fan, Mani Amani, Jaemin Seo, Ki Myung Brian Lee, Hyondong Oh, Nikolay Atanasov

CoRR, March, 2026

Real-Time Communication Relay Planning With a Low-Complexity Network Quality Prediction Model in Dynamic Indoor Missions.

Jaemin Seo, Jongyun Kim, Seunghwan Kim, Changseung Kim, Woojae Shin, Hyondong Oh

IEEE Robotics Autom. Lett., January, 2026

Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning.

Myong-Yol Choi, Hankyoul Ko, Hanse Cho, Changseung Kim, Seunghwan Kim, Jaemin Seo, Hyondong Oh

CoRR, January, 2026

PACMAN: Rapid identification of keypoint patch-based fiducial marker in occluded environments.

Taewook Park, Geun Sik Bae, Woojae Shin, Meraj Mammadov, Jaemin Seo, Heejung Shin, Hyondong Oh

Image Vis. Comput., 2026

Multivariate Unbounded Quantum Regression via Log-Ratio Probabilities Mitigating Barren Plateaus.

Jaemin Seo

IEEE Access, 2026

A Heterogeneous Graph-based Gate Sizer Integrating Graph Attention Network and Transformer.

Jinmo Ahn, Jinoh Cho, Jaemin Seo, Jaeseung Lee, Jakang Lee, Seokhyeong Kang

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

Multimodal Super-Resolution: Discovering Hidden Physics and Its Application to Fusion Plasmas (Abstract Reprint).

Azarakhsh Jalalvand, SangKyeun Kim, Jaemin Seo, Qiming Hu, Max Curie, Peter Steiner, Andrew Oakleigh Nelson, Yong-Su Na, Egemen Kolemen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data.

Keon Vin Park, Jisu Kim, Jaemin Seo

CoRR, February, 2025

Gas Source Localization in Unknown Indoor Environments Using Dual-Mode Information-Theoretic Search.

Seunghwan Kim, Jaemin Seo, Hongro Jang, Changseung Kim, Murim Kim, Juhyun Pyo, Hyondong Oh

IEEE Robotics Autom. Lett., January, 2025

Kalman filter-based distributed Gaussian process for unknown scalar field estimation in wireless sensor networks.

Jaemin Seo, Geun Sik Bae, Hyondong Oh

Expert Syst. Appl., 2025

Quantum Mixture-Density Network for Multimodal Probabilistic Prediction.

Jaemin Seo

IEEE Access, 2025

Leveraging Machine Learning Techniques for Traditional EDA Workflow Enhancement.

Jinoh Cho, Jaekyung Im, Jaeseung Lee, Kyungjun Min, Seonghyeon Park, Jaemin Seo, Jongho Yoon, Seokhyeong Kang

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Avoiding fusion plasma tearing instability with deep reinforcement learning.

Jaemin Seo, SangKyeun Kim, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha, Egemen Kolemen

Nat., 2024

Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning.

Jinsu Kim, Jaemin Seo

CoRR, 2024

Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion.

Azarakhsh Jalalvand, Max Curie, SangKyeun Kim, Peter Steiner, Jaemin Seo, Qiming Hu, Andrew Oakleigh Nelson, Egemen Kolemen

CoRR, 2024

Improving Timing & Power Trade-off in Post-place Optimization Using Multi-agent Reinforcement Learning.

Jaemin Seo, Sejin Park, Seokhyeong Kang

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Unveiling the Black-Box: Leveraging Explainable AI for FPGA Design Space Optimization.

Jaemin Seo, Sejin Park, Seokhyeong Kang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Collision-free active sensing for maximum seeking of unknown environment fields with Gaussian processes.

Jaemin Seo, Geun Sik Bae, Hyondong Oh

Expert Syst. Appl., April, 2023

Multimodal Prediction of Tearing Instabilities in a Tokamak.

Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen

Proceedings of the International Joint Conference on Neural Networks, 2023

2021

Autonomous Source Search for UAVs Using Gaussian Mixture Model-Based Infotaxis: Algorithm and Flight Experiments.

Minkyu Park, Seulbi An, Jaemin Seo, Hyondong Oh

IEEE Trans. Aerosp. Electron. Syst., 2021