Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting. - Pongpisit Thanasutives; Ken-ichi Fukui; Masayuki Numao; Boonserm Kijsirikul (ICPR, 2020)

Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations. - Pongpisit Thanasutives; Masayuki Numao; Ken-ichi Fukui (IJCNN, 2021)

Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery. - Pongpisit Thanasutives; Takashi Morita 001; Masayuki Numao; Ken-ichi Fukui (CoRR, 2023)

Noise-aware physics-informed machine learning for robust PDE discovery. - Pongpisit Thanasutives; Takashi Morita 001; Masayuki Numao; Ken-ichi Fukui (Mach. Learn. Sci. Technol., 2023)

Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery. - Pongpisit Thanasutives; Takashi Morita 001; Masayuki Numao; Ken-ichi Fukui (IEEE Access, 2024)

On uncertainty-penalized Bayesian information criterion. - Pongpisit Thanasutives; Ken-ichi Fukui (CoRR, 2024)

Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discovery. - Pongpisit Thanasutives; Ken-ichi Fukui (CoRR, 2024)