Takuya Kurihana

16 papers A 1B 1C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Harnessing Rich Multi-Modal Data for Spatial-Temporal Homophily-Embedded Graph Learning Across Domains and Localities.
CoRR
Takuya Kurihana, Xiaojian Zhang, Wing Yee Au, Hon Yung Wong
2025 A conf
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.
SC
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
2025 J jnl
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.
CoRR
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
2024 — conf
A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications.
SC Workshops
Gabriele Padovani, Valentine Anantharaj, Ludovica Sacco, Takuya Kurihana, M. Bunino, K. Tsolaki, M. Girone, F. Antonio, Carolina Sopranzetti, M. Fronza, Sandro Fiore
2024 C conf
Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications.
IGARSS
Valentine Anantharaj, Takuya Kurihana, Sajal Dash, Gabriele Padovani, Sandro Fiore
2024 J jnl
Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites.
Comput. Geosci.
Aurelien Meray, Lijing Wang, Takuya Kurihana, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright
2024 — conf
Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research.
SC Workshops
Takuya Kurihana, Tyler J. Skluzacek, Rafael Ferreira da Silva, Valentine Anantharaj
2023 J jnl
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network.
CoRR
Takuya Kurihana, Kyongmin Yeo, Daniela Szwarcman, Bruce Elmegreen, S. Karthik Mukkavilli, Johannes Schmude, Levente J. Klein
2022 J jnl
AICCA: AI-Driven Cloud Classification Atlas.
Remote. Sens.
Takuya Kurihana, Elisabeth Moyer, Ian T. Foster
2022 J jnl
AICCA: AI-driven Cloud Classification Atlas.
CoRR
Takuya Kurihana, Elisabeth Moyer, Ian T. Foster
2022 J jnl
Cloud Classification with Unsupervised Deep Learning.
CoRR
Takuya Kurihana, Ian T. Foster, Rebecca Willett, Sydney Jenkins, Kathryn Koenig, Ruby Werman, Ricardo Barros Lourenço, Casper Neo, Elisabeth Moyer
2022 J jnl
Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder.
IEEE Trans. Geosci. Remote. Sens.
Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2022 J jnl
Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder.
CoRR
Takuya Kurihana, James Franke, Ian T. Foster, Ziwei Wang, Elisabeth Moyer
2022 J jnl
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models.
CoRR
Lijing Wang, Takuya Kurihana, Aurelien Meray, Ilijana Mastilovic, Satyarth Praveen, Zexuan Xu, Milad Memarzadeh, Alexander Lavin, Haruko M. Wainwright
2021 B conf
Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder.
e-Science
Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2021 J jnl
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder.
CoRR
Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster