Publications
- Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder - Takuya Kurihana and Elisabeth Moyer and Rebecca Willett and Davis Gilton and Ian Foster (2021)
- AICCA: AI-driven cloud classification atlas - Takuya Kurihana and Elisabeth J Moyer and Ian T Foster (2022)
- Cloud characterization with unsupervised deep learning, - Takuya Kurihana and Ian Foster and Rebecca Willett and Sydney Jenkins and Kathryn Koenig and Ruby Werman and Ricardo Barros Lourenco and Casper Neo and Elisabeth Moyer (2019)
- Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites - Aurelien Meray and Lijing Wang and Takuya Kurihana and Ilijana Mastilovic and Satyarth Praveen and Zexuan Xu and Milad Memarzadeh and Alexander Lavin and Haruko Wainwright (2024)
- Identifying Climate Patterns using Clustering Autoencoder Techniques - Takuya Kurihana and Ilijana Mastilovic and Lijing Wang and Aurelien Meray and Satyarth Praveen and Zexuan Xu and Milad Memarzadeh and Alexander Lavin and Haruko Wainwright (2024)
- Perturbations by the ensemble transform - Kazuo Saito and Le Duc and Takumi Matsunobu and Takuya Kurihana (2022)
- Developing unsupervised learning models for cloud classification - Sydney Jenkins and Elisabeth J Moyer and Ian Foster and Takuya Kurihana and Rebecca Willett and Michael Maire and Kathryn Koenig and Ruby Werman (2019)
- Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research - Takuya Kurihana and Tyler J Skluzacek and Rafael Ferreira Da Silva and Valentine Anantharaj (2024)
- Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models - Lijing Wang and Takuya Kurihana and Aurelien Meray and Ilijana Mastilovic and Satyarth Praveen and Zexuan Xu and Milad Memarzadeh and Alexander Lavin and Haruko Wainwright (2022)
- A data-driven cloud classification framework based on a rotationally invariant autoencoder - Takuya Kurihana and Ian Foster and Rebecca Willett and Michael Maire and Sydney Jenkins and Anant Matai and Elisabeth J Moyer (2020)
- Cloud Characterization With Deep Learning II - Takuya Kurihana and Ian Foster and Elisabeth J Moyer and Rebecca Willett and Michael Maire and Sydney Jenkins and Kathryn Koenig and Ruby Werman (2019)
- Perturbation Methods for Ensemble Data Assimilation - Kazuo Saito and M Kunii and L Duc and T Kurihana (2017)
- Knowledge-guided multimodal deep neural network toward seasonal precipitation forecasting in Central Southwest Asia - Takuya Kurihana and Moetasim Ashfaq and Matthew Horan and Zeeshan Aslam (2024)
- A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications - G Padovani and V Anantharaj and L Sacco and T Kurihana and M Bunino and K Tsolaki and M Girone and F Antonio and C Sopranzetti and M Fronza and S Fiore (2024)
- Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications - Valentine Anantharaj and Takuya Kurihana and Sajal Dash and Gabriele Padovani and Sandro Fiore (2024)
- An Investigation of Multiple Classifications of Clouds Over Mid-latitude Cyclones - Alex J Schuddeboom and Takuya Kurihana and Ian T Foster and Adrian J McDonald and Cameron McErlich and David Walle (2024)
- Pretraining a foundation model using MODIS observations of the earth’s atmosphere - Valentine Anantharaj and Takuya Kurihana and Gabriele Padovani and Ankur Kumar and Aristeidis Tsaris and Udaysankar Nair and Sandro Fiore and Ian Foster (2024)
- Democratizing Access to Extensive Climate Datasets via Deep Learning-Powered Techniques - Takuya Kurihana (2024)
- A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network - Takuya Kurihana and Kyongmin Yeo and Daniela Szwarcman and Bruce Elmegreen and Karthik Mukkavilli and Johannes Schmude and Levente Klein (2023)
- Automated cloud classification via vision transformers for self-supervised semantic segmentation - James A Franke and Takuya Kurihana and Elisabeth J Moyer and Ian T Foster (2023)
- Deep Learning in Climate, Weather, and Earth Sciences II Oral - Donald D Lucas and Takuya Kurihana and Duncan Watson-Parris and James A Franke and Elisabeth J Moyer and Ian Foster (2023)
- A 3D spatial self-attention module on a non-uniform vertical coordinate for super-resolution wind fields - Takuya Kurihana and Kyongmin Yeo and Daniela Szwarcman and Bruce Elmegreen and Surya Karthik Mukkavilli (2023)
- SCuBA: Self-supervised Cloud Bias Assessment for evaluating cloud representations from high-resolution climate models against MODIS cloud images - Takuya Kurihana and James A Franke and Valentine G Anantharaj and Ian Foster and Elisabeth J Moyer (2023)
- Estimating the Impact of Large-scale Natural Aerosol Injections on Marine Cloud Populations with Unsupervised Classification in MODIS Images - James A Franke and Takuya Kurihana and Ziwei Wang and Ian Foster and Elisabeth J Moyer (2022)
- Global-scale unsupervised cloud classification to construct a novel AI-driven Cloud Classification Atlas (AICCA) - Takuya Kurihana and Elisabeth J Moyer and Ziwei Wang and James A Franke and Tatsu Monkman and Jacob Kuntzleman and Adam Chaikin-Lifshitz and Ian Foster (2022)
- Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites - Lijing Wang and Takuya Kurihana and Aurelien Meray and Ilijana Mastilovic and Satyarth Praveen and Zexuan Xu and Milad Memarzadeh and Alexander Lavin and Haruko M Wainwright (2022)
- Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder - Takuya Kurihana and James Franke and Ian Foster and Ziwei Wang and Elisabeth Moyer (2022)
- Cloud Clustering Applied to MODIS Calibrated Radiances Over 2003 via Rotationally Invariant Autoencoder - Takuya Kurihana and Elisabeth Moyer and Rebecca Willett and Davis Gilton and Ian Foster (2021)
- Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder - Takuya Kurihana and Elisabeth Moyer and Rebecca Willett and Davis Gilton and Ian Foster (2021)
- FDLPhysics-Informed Surrogate Modeling for Supporting Climate Resilience at Groundwater Contamination Sites–23123 - Aurelien Meray and Lijing Wang and Takuya Kurihana and Ilijana Mastilovic and Satyarth Praveen and Zexuan Xu and Alexander Lavin and Milad Memarzadeh and Haruko Wainwright (N/A)
- Assimilation with faster super observation algorithm - T Kurihana and HL Tanaka (N/A)
- Self-Supervised Deep Learning Applications in the Earth Sciences - James A Franke and Takuya Kurihana and Elisabeth J Moyer and Ian Foster (N/A)
- On the Ensemble Transform Perturbation:(2) NHM-LETKF - Takuya Kurihana (N/A)