Learning Entropy Production via Neural Networks DK Kim, Y Bae, S Lee, H Jeong Physical Review Letters 125 (14), 140604, 2020 | 47 | 2020 |
Multidimensional entropic bound: Estimator of entropy production for Langevin dynamics with an arbitrary time-dependent protocol S Lee, DK Kim, JM Park, WK Kim, H Park, JS Lee Physical Review Research 5 (1), 013194, 2023 | 16 | 2023 |
Inferring dissipation maps from videos using convolutional neural networks Y Bae, DK Kim, H Jeong Physical Review Research 4 (3), 033094, 2022 | 6* | 2022 |
Estimating entropy production with odd-parity state variables via machine learning DK Kim, S Lee, H Jeong Physical Review Research 4 (2), 023051, 2022 | 6 | 2022 |
Multi-label classification of historical documents by using hierarchical attention networks DK Kim, B Lee, D Kim, H Jeong Journal of the Korean Physical Society 76, 368-377, 2020 | 5 | 2020 |
Deep reinforcement learning for feedback control in a collective flashing ratchet DK Kim, H Jeong Physical Review Research 3 (2), L022002, 2021 | 4 | 2021 |
SUBTLE: An unsupervised platform with temporal link embedding that maps animal behavior J Kwon, S Kim, DK Kim, J Joo, SH Kim, M Cha, CJ Lee International Journal of Computer Vision, 1-27, 2024 | 3 | 2024 |
Spontaneous emergence of rudimentary music detectors in deep neural networks G Kim, DK Kim, H Jeong Nature Communications 15 (1), 148, 2024 | 3 | 2024 |
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity DK Kim, J Kwon, M Cha, C Lee Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Neural Classification of Terrestrial Biomes V Shen, DK Kim, E Zeller, M Cha 2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023 | | 2023 |