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Salva Rühling Cachay
Salva Rühling Cachay
Other namesSalva Ruhling Cachay, Salva Ruehling Cachay
Verified email at ucsd.edu - Homepage
Title
Cited by
Cited by
Year
End-to-End Weak Supervision
SR Cachay, B Boecking, A Dubrawski
NeurIPS, 2021
37*2021
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks
SR Cachay, E Erickson, AFC Bucker, E Pokropek, W Potosnak, S Bire, ...
arXiv preprint arXiv:2104.05089, 2021
192021
Graph Neural Networks for Improved El Niño Forecasting
S Rühling Cachay, E Erickson, AFC Bucker, E Pokropek, W Potosnak, ...
NeurIPS 2020 workshop on Tackling Climate Change with Machine Learning, 2020
17*2020
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
SR Cachay, V Ramesh, JNS Cole, H Barker, D Rolnick
NeurIPS Datasets and Benchmarks Track, 2021
152021
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
SR Cachay, B Zhao, H James, R Yu
NeurIPS, 2023
92023
Dependency Structure Misspecification in Multi-Source Weak Supervision Models
SR Cachay, B Boecking, A Dubrawski
ICLR 2021 workshop on Weakly Supervised Learning (oral presentation), 2021
82021
ClimFormer–A Spherical Transformer Model for Long-term Climate Projections
SR Cachay, P Mitra, H Hirasawa, S Kim, S Hazarika, D Hingmire, P Rasch, ...
Proceedings of the Machine Learning and the Physical Sciences Workshop …, 2022
12022
Graph Deep Learning for Long Range Forecasting
S Rühling Cachay, E Erickson, AFC Bucker, E Pokropek, W Potosnak, ...
EGU21, 2021
12021
HAiVA: Hybrid AI-assisted Visual Analysis Framework to Study the Effects of Cloud Properties on Climate Patterns
S Hazarika, H Hirasawa, S Kim, K Ramea, SR Cachay, P Mitra, ...
2023 IEEE Visualization and Visual Analytics (VIS), 226-230, 2023
2023
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles
S Kim, K Ramea, SR Cachay, H Hirasawa, S Hazarika, D Hingmire, ...
Proceedings of the 32nd ACM International Conference on Information and …, 2023
2023
Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem
H Hirasawa, S Kim, P Mitra, S Hazarika, S Ruhling-Cachay, D Hingmire, ...
arXiv preprint arXiv:2302.01957, 2023
2023
ClimFormer: building an attention-based climate emulator
P Mitra, SR Cachay, SK Kim, S Hazarika, K Ramea, DS Hingmire, ...
Fall Meeting 2022, 2022
2022
On incorporating first principles based physical conservation laws into global climate emulators
P Mitra, DS Hingmire, H Hirasawa, SR Cachay, S Hazarika, SK Kim, ...
Fall Meeting 2022, 2022
2022
AI assisted evaluation of ESMs in simulating observed cloud climate interactions
DS Hingmire, H Hirasawa, HA Singh, SR Cachay, SK Kim, P Mitra, ...
AGU Fall Meeting Abstracts 2022, A25I-1844, 2022
2022
Marine Cloud Brightening Intervention Optimization using a Hybrid AI Approach
HA Singh, H Hirasawa, D Hingmire, S Hazarika, SK Kim, SR Cachay, ...
AGU Fall Meeting Abstracts 2022, GC16A-03, 2022
2022
Interactive Visual Analytics to Study the Impacts of Cloud Radiative Properties on Climate Patterns
S Hazarika, K Ramea, SK Kim, P Mitra, SR Cachay, H Hirasawa, ...
AGU Fall Meeting Abstracts 2022, IN41C-01, 2022
2022
Projecting the Climate Response to Forcings with Machine Learning Models using the Fluctuation-Dissipation Relation
H Hirasawa, S Hazarika, S Kim, P Mitra, SR Cachay, D Hingmire, ...
AGU23, 0
Model Misspecification in Multiple Weak Supervision
SR Cachay, B Boecking, A Dubrawski
LatinX in AI workshop at NeurIPS, 0
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