A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network
- Takuya Kurihana
- Kyongmin Yeo
- et al.
- 2023
- NeurIPS 2023
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15 results for Karthik Mukkavilli
Higher Order Graph Attention Probabilistic Walk Networks
- Thomas Bailie
- Yun Singh Koh
- et al.
- 2025
- AAAI 2025
INDUS: Effective and Efficient Language Models for Scientific Applications
- Bhatta Bhattacharjee
- Aashka Trivedi
- et al.
- 2024
- EMNLP 2024
High-Resolution WRF Wind Field Dataset for GHG Applications: Navigating Computational Challenges in Energy Research
- Karthik Mukkavilli
- W. Trojak
- et al.
- 2023
- AGU Fall 2023
Towards state-of-the-art nowcasting with a foundational AI model: an ECCC-IBM collaboration
- Dominique Brunet
- Didier Davignon
- et al.
- 2024
- CMOS Congress 2024
ClimateHub: Deep Search for Climate, Earth and Environmental Sciences
- Karthik Mukkavilli
- Thomas Brunschwiler
- et al.
- 2023
- AGU Fall 2023
On the development of artificial intelligence downscaling applications for medium-range forecasts of weather elements at CCMEP
- Christian Saad
- Dominique Brunet
- et al.
- 2024
- CMOS Congress 2024
Identifying global biases in hydro-hazard research by mining the scientific literature
- Lina Stein
- Karthik Mukkavilli
- et al.
- 2024
- EGU 2024
Towards operational methane emission detection from oil and gas facilities through multi-modal sensing and advanced dispersion and atmospheric modeling
- Arash Fathi
- Joao Lucas de Sousa Almeida
- et al.
- 2023
- AGU Fall 2023
Enhancing Wind Downscaling with Foundation Models
- 2024
- AGU 2024