Takuya Kurihana

According to our database, Takuya Kurihana authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Harnessing Rich Multi-Modal Data for Spatial-Temporal Homophily-Embedded Graph Learning Across Domains and Localities.

Takuya Kurihana, Xiaojian Zhang, Wing Yee Au, Hon Yung Wong

CoRR, December, 2025

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.

Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu

CoRR, May, 2025

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.

Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu

Proceedings of the International Conference for High Performance Computing, 2025

2024

Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites.

Aurelien Meray, Lijing Wang, Takuya Kurihana, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright

Comput. Geosci., January, 2024

A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications.

Gabriele Padovani, Valentine Anantharaj, Ludovica Sacco, Takuya Kurihana, M. Bunino, K. Tsolaki, M. Girone, F. Antonio, Carolina Sopranzetti, M. Fronza, Sandro Fiore

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research.

Takuya Kurihana, Tyler J. Skluzacek, Rafael Ferreira da Silva, Valentine Anantharaj

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications.

Valentine Anantharaj, Takuya Kurihana, Sajal Dash, Gabriele Padovani, Sandro Fiore

Proceedings of the IGARSS 2024, 2024

2023

A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network.

Takuya Kurihana, Kyongmin Yeo, Daniela Szwarcman, Bruce Elmegreen, S. Karthik Mukkavilli, Johannes Schmude, Levente J. Klein

CoRR, 2023

2022

Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder.

Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster

IEEE Trans. Geosci. Remote. Sens., 2022

AICCA: AI-Driven Cloud Classification Atlas.

Takuya Kurihana, Elisabeth Moyer, Ian T. Foster

Remote. Sens., 2022

Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models.

Lijing Wang, Takuya Kurihana, Aurelien Meray, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright

CoRR, 2022

Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder.

Takuya Kurihana, James Franke, Ian T. Foster, Ziwei Wang, Elisabeth Moyer

CoRR, 2022

Cloud Classification with Unsupervised Deep Learning.

Takuya Kurihana, Ian T. Foster, Rebecca Willett, Sydney Jenkins, Kathryn Koenig, Ruby Werman, Ricardo Barros Lourenço, Casper Neo, Elisabeth Moyer

CoRR, 2022

2021

Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder.

Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster

Proceedings of the 17th IEEE International Conference on eScience, 2021