Arthur Pajot

According to our database, Arthur Pajot authored at least 8 papers between 2018 and 2026.

Collaborative distances:

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

2026

The Competition of Fairness in AI-generated Face Detection: Methods and Results.

Shu Hu, Li Lin, Shail Desai, Aditya Pawar, Guangyu Lin, Xin Wang, Daniel S. Schiff, Sachi Nandan Mohanty, Ryan Ofman, Narcis Bejtic, Jon Gillham, Wenbin Zhang, Baoyuan Wu, Cristian Canton, Xiaoming Liu, Luisa Verdoliva, Siwei Lyu, Yongwei Tang, Zhiqiang Wu, Jiawen Seow, Zara Alaverdyan, Anne-Flore Baron, Simon Bozonnet, Martins Bruveris, Jochem Gietema, Lucia Innocenti, Lisa Ivanova, Olivier Koch, Harry Ni, Arthur Pajot, Romain Sabathe, Fengming Gu, Xingming Long, Jie Zhang, Wenqing Ge, Xiangkui Cao, Yuecong Min, Yingjie Liu, Zonghui Guo, Shiguang Shan, Jinhee Park, Minjun Kim, Ahyeon Park, Guisik Kim, Taewoo Kim, YoungJoon Yoo, Junseok Kwon, Zhaoda Li, Mengyun Tang, Leyang Huang, Bogdan Dura, Sebastian Balmus, Fang-Yi Su, Tsung-Hua Lee, Ting-Wan Kao

Mach. Intell. Res., June, 2026

2022

Modelling spatiotemporal dynamics from Earth observation data with neural differential equations.

Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari

Mach. Learn., 2022

2020

Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations.

Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Incorporating physical knowledge into deep neural network. (Incorporation de connaissance physique dans des réseaux de neurones profonds).

Arthur Pajot

PhD thesis, 2019

Unsupervised Adversarial Image Inpainting.

Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari

CoRR, 2019

Learning Dynamical Systems from Partial Observations.

Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari

CoRR, 2019

Unsupervised Adversarial Image Reconstruction.

Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge.

Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari

Proceedings of the 6th International Conference on Learning Representations, 2018