Jaemin Seo

According to our database, Jaemin Seo authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks.

Jaemin Seo, Geun Sik Bae, Hyondong Oh

CoRR, February, 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

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

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