Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles.

Soo Kyung Kim|Kalai Ramea|Salva Rühling Cachay|Haruki Hirasawa|Subhashis Hazarika|Dipti Hingmire|Peetak Mitra|Philip J. Rasch|Hansi A. Singh


Anthology ID:DBLP:conf/cikm/KimRCHHHMRS23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4653-4659
URL:https://doi.org/10.1145/3583780.3615460
DOI:https://doi.org/10.1145/3583780.3615460
DBLP:conf/cikm/KimRCHHHMRS23
BibTeX:
@inproceedings{kim-2023-climate, author = {Soo Kyung Kim and Kalai Ramea and Salva R\"{u}hling Cachay and Haruki Hirasawa and Subhashis Hazarika and Dipti Hingmire and Peetak Mitra and Philip J. Rasch and Hansi A. Singh}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {4653--4659}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615460}, doi = {https://doi.org/10.1145/3583780.3615460} }