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2020 – today
- 2024
- [j2]Pongpisit Thanasutives
, Takashi Morita
Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery. IEEE Access 12: 13165-13182 (2024) - [i6]Pongpisit Thanasutives, Ken-ichi Fukui:
On uncertainty-penalized Bayesian information criterion. CoRR abs/2404.16881 (2024) - [i5]Pongpisit Thanasutives, Ken-ichi Fukui:
Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discovery. CoRR abs/2408.08106 (2024) - 2023
- [j1]Pongpisit Thanasutives
Noise-aware physics-informed machine learning for robust PDE discovery. Mach. Learn. Sci. Technol. 4(1): 15009 (2023) - [i4]Pongpisit Thanasutives
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery. CoRR abs/2308.10283 (2023) - 2022
- [i3]Pongpisit Thanasutives
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery. CoRR abs/2206.12901 (2022) - 2021
- [c2]Pongpisit Thanasutives
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations. IJCNN 2021: 1-9 - [i2]Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao:
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations. CoRR abs/2104.14320 (2021) - 2020
- [c1]Pongpisit Thanasutives
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting. ICPR 2020: 2382-2389 - [i1]Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao, Boonserm Kijsirikul:
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting. CoRR abs/2003.05586 (2020)
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