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Jaemin Seo
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
- [j4]Seunghwan Kim
, Jaemin Seo, Hongro Jang, Changseung Kim, Murim Kim
, Juhyun Pyo, Hyondong Oh
:
Gas Source Localization in Unknown Indoor Environments Using Dual-Mode Information-Theoretic Search. IEEE Robotics Autom. Lett. 10(1): 588-595 (2025) - [c4]Jinoh Cho
, Jaekyung Im
, Jaeseung Lee
, Kyungjun Min
, Seonghyeon Park
, Jaemin Seo
, Jongho Yoon
, Seokhyeong Kang
:
Leveraging Machine Learning Techniques for Traditional EDA Workflow Enhancement. ASP-DAC 2025: 676-682 - [i4]Keon Vin Park, Jisu Kim, Jaemin Seo:
PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data. CoRR abs/2502.04018 (2025) - [i3]Jaemin Seo, Geun Sik Bae, Hyondong Oh:
Kalman Filter-Based Distributed Gaussian Process for Unknown Scalar Field Estimation in Wireless Sensor Networks. CoRR abs/2502.05802 (2025) - 2024
- [j3]Jaemin Seo
, SangKyeun Kim
, Azarakhsh Jalalvand, Rory Conlin, Andrew Rothstein, Joseph Abbate, Keith Erickson, Josiah Wai, Ricardo Shousha
, Egemen Kolemen
:
Avoiding fusion plasma tearing instability with deep reinforcement learning. Nat. 626(8000): 746-751 (2024) - [c3]Jaemin Seo, Sejin Park, Seokhyeong Kang:
Unveiling the Black-Box: Leveraging Explainable AI for FPGA Design Space Optimization. DATE 2024: 1-6 - [c2]Jaemin Seo
, Sejin Park, Seokhyeong Kang
:
Improving Timing & Power Trade-off in Post-place Optimization Using Multi-agent Reinforcement Learning. ICCAD 2024: 162:1-162:9 - [i2]Azarakhsh Jalalvand, Max Curie, SangKyeun Kim, Peter Steiner, Jaemin Seo, Qiming Hu, Andrew Oakleigh Nelson, Egemen Kolemen:
Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion. CoRR abs/2405.05908 (2024) - [i1]Jinsu Kim
, Jaemin Seo:
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning. CoRR abs/2409.08231 (2024) - 2023
- [j2]Jaemin Seo
, Geun Sik Bae
, Hyondong Oh
:
Collision-free active sensing for maximum seeking of unknown environment fields with Gaussian processes. Expert Syst. Appl. 216: 119459 (2023) - [c1]Jaemin Seo, Rory Conlin, Andrew Rothstein, SangKyeun Kim
, Joseph Abbate, Azarakhsh Jalalvand, Egemen Kolemen
:
Multimodal Prediction of Tearing Instabilities in a Tokamak. IJCNN 2023: 1-8 - 2021
- [j1]Minkyu Park
, Seulbi An, Jaemin Seo, Hyondong Oh
:
Autonomous Source Search for UAVs Using Gaussian Mixture Model-Based Infotaxis: Algorithm and Flight Experiments. IEEE Trans. Aerosp. Electron. Syst. 57(6): 4238-4254 (2021)
Coauthor Index
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last updated on 2025-05-03 00:03 CEST by the dblp team
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