Pongpisit Thanasutives

According to our database, Pongpisit Thanasutives authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discovery.

Pongpisit Thanasutives, Ken-ichi Fukui

CoRR, 2024

On uncertainty-penalized Bayesian information criterion.

Pongpisit Thanasutives, Ken-ichi Fukui

CoRR, 2024

Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery.

Pongpisit Thanasutives, Takashi Morita, Masayuki Numao, Ken-ichi Fukui

IEEE Access, 2024

2023

Noise-aware physics-informed machine learning for robust PDE discovery.

Pongpisit Thanasutives, Takashi Morita, Masayuki Numao, Ken-ichi Fukui

Mach. Learn. Sci. Technol., March, 2023

Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery.

Pongpisit Thanasutives, Takashi Morita, Masayuki Numao, Ken-ichi Fukui

CoRR, 2023

2022

Noise-aware Physics-informed Machine Learning for Robust PDE Discovery.

Pongpisit Thanasutives, Takeshi Morita, Masayuki Numao, Ken-ichi Fukui

CoRR, 2022

2021

Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations.

Pongpisit Thanasutives, Masayuki Numao, Ken-ichi Fukui

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting.

Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao, Boonserm Kijsirikul

Proceedings of the 25th International Conference on Pattern Recognition, 2020