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Campbell D. Watson
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2020 – today
- 2026
[i25]Craig Mahlasi, Gciniwe S. Baloyi, Zaheed Gaffoor, Levente J. Klein, Anne Jones, Etienne Eben Vos, Michal Muszynski, Geoffrey Dawson, Campbell D. Watson:
Ecological mapping with geospatial foundation models. CoRR abs/2602.10720 (2026)
[i24]Johannes Schmude, Sujit Roy, Liping Wang, Theodore van Kessel, Levente J. Klein, Marcus Freitag, Eloisa Bentivegna, Robert Manson-Sawko
, Björn Lütjens, Manil Maskey, Campbell D. Watson, Rahul Ramachandran, Juan Bernabé-Moreno:
PDE foundation models are skillful AI weather emulators for the Martian atmosphere. CoRR abs/2602.15004 (2026)
[i23]Jonathan Giezendanner, Qidong Yang, Eric Schmitt, Anirban Chandra, Daniel Salles Civitarese, Johannes Jakubik, Jeremy Vila, Detlef Hohl, Campbell D. Watson, Sherrie Wang:
Partial recovery of meter-scale surface weather. CoRR abs/2602.23146 (2026)
[i22]Sujit Roy, Udayshankar Nair, Yuling Wu, Georgios Priftis, Liping Wang, Anastasia Georgiou
, Anne Jones, Björn Lütjens, Johannes Schmude, Campbell D. Watson, Rachel A. Slank, Ankur Kumar, Anirbit Mukherjee, Procheta Sen, Ramin Lolachi, Haonan Chen, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran:
Towards a Foundation Model for the Martian Atmosphere. CoRR abs/2605.28851 (2026)- 2025
[c8]Movina Moses, Mohab Elkaref, James Barry, Shinnosuke Tanaka, Vishnudev Kuruvanthodi, Nathan Herr, Campbell D. Watson, Geeth De Mel:
QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform. AAAI 2025: 29670-29672
[c7]Sagar Soni, Akshay Dudhane, Hiyam Debary, Mustansar Fiaz, Muhammad Akhtar Munir, Muhammad Sohail Danish, Paolo Fraccaro, Campbell D. Watson, Levente J. Klein, Fahad Shahbaz Khan, Salman H. Khan:
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues. CVPR 2025: 14303-14313
[i21]Movina Moses, Mohab Elkaref, James Barry, Shinnosuke Tanaka, Vishnudev Kuruvanthodi, Nathan Herr, Campbell D. Watson, Geeth De Mel:
QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform. CoRR abs/2504.06136 (2025)
[i20]Sujit Roy, Dinesha Hegde, Johannes Schmude, Amy Lin, Vishal Gaur, Rohit Lal, Kshitiz Mandal, Talwinder Singh, Andrés Muñoz-Jaramillo, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Ryan McGranaghan
, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Marcus Freitag, Iksha Gurung, Nikolai V. Pogorelov, Campbell D. Watson, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran:
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction. CoRR abs/2508.14107 (2025)
[i19]Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo
, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh
, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan
, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran:
Surya: Foundation Model for Heliophysics. CoRR abs/2508.14112 (2025)- 2024
[j2]Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. J. Mach. Learn. Res. 25: 420:1-420:30 (2024)
[c6]Muaaz Bhamjee
, Hiyam Debary, Zaheed Gaffoor, Tamara Govindasamy, Craig Mahlasi, Mustansar Fiaz, Etienne Eben Vos, Levente J. Klein, Sibusisiwe Makhanya, Campbell D. Watson, Julian Kuehnert:
Detection and Characterization of Urban Heat Islands with Machine Learning. IGARSS 2024: 1693-1699
[i18]Michal Muszynski, Levente J. Klein, Ademir Ferreira da Silva, Anjani Prasad Atluri, Carlos Gomes, Daniela Szwarcman, Gurkanwar Singh, Kewen Gu, Maciel Zortea, Naomi Simumba
, Paolo Fraccaro, Shraddha Singh, Steve Meliksetian, Campbell D. Watson, Daiki Kimura, Harini Srinivasan:
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation. CoRR abs/2406.19888 (2024)
[i17]Ayush Prasad, Paula Harder, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Evaluating the transferability potential of deep learning models for climate downscaling. CoRR abs/2407.12517 (2024)
[i16]Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran:
Prithvi WxC: Foundation Model for Weather and Climate. CoRR abs/2409.13598 (2024)
[i15]Qidong Yang, Jonathan Giezendanner
, Daniel Salles Civitarese, Johannes Jakubik, Eric Schmitt, Anirban Chandra, Jeremy Vila, Detlef Hohl, Christopher Hill, Campbell D. Watson, Sherrie Wang:
Multi-modal graph neural networks for localized off-grid weather forecasting. CoRR abs/2410.12938 (2024)
[i14]Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Þorsteinn Elí Gíslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique de Oliveira, João Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, Srija Chakraborty, Sizhe Wang, Ankur Kumar, Myscon Truong, Denys Godwin, Hyunho Lee, Chia-Yu Hsu, Ata Akbari Asanjan, Besart Mujeci, Trevor Keenan, Paulo Arévalo, Wenwen Li, Hamed Alemohammad
, Pontus Olofsson, Christopher Hain, Robert Kennedy, Bianca Zadrozny, Gabriele Cavallaro, Campbell D. Watson, Manil Maskey, Rahul Ramachandran, Juan Bernabé-Moreno:
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. CoRR abs/2412.02732 (2024)
[i13]Sagar Soni, Akshay Dudhane, Hiyam Debary, Mustansar Fiaz, Muhammad Akhtar Munir, Muhammad Sohail Danish, Paolo Fraccaro, Campbell D. Watson, Levente J. Klein, Fahad Shahbaz Khan, Salman H. Khan:
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues. CoRR abs/2412.15190 (2024)- 2023
[j1]Paula Harder, Alex Hernández-García, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Hard-Constrained Deep Learning for Climate Downscaling. J. Mach. Learn. Res. 24: 365:1-365:40 (2023)
[c5]Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein:
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network. IGARSS 2023: 1297-1300
[i12]Qidong Yang, Alex Hernández-García, Paula Harder, Venkatesh Ramesh, Prasanna Sattigeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick:
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling. CoRR abs/2305.14452 (2023)
[i11]S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell D. Watson, Raghu K. Ganti, Hendrik F. Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam:
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR abs/2309.10808 (2023)- 2022
[c4]Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein:
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. IEEE Big Data 2022: 4881-4887
[c3]Dário A. B. Oliveira, Jorge Guevara Diaz
, Bianca Zadrozny, Campbell D. Watson, Xiao Xiang Zhu:
Controlling Weather Field Synthesis Using Variational Autoencoders. IGARSS 2022: 5027-5030
[i10]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson:
Wildfire risk forecast: An optimizable fire danger index. CoRR abs/2203.15558 (2022)
[i9]Björn Lütjens, Catherine H. Crawford, Campbell D. Watson, Christopher Hill, Dava J. Newman:
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers. CoRR abs/2207.11417 (2022)
[i8]Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick
:
Generating physically-consistent high-resolution climate data with hard-constrained neural networks. CoRR abs/2208.05424 (2022)
[i7]Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht
:
Aboveground carbon biomass estimate with Physics-informed deep network. CoRR abs/2210.13752 (2022)- 2021
[c2]Alberto Costa Nogueira Jr., Felipe de Castro Teixeira Carvalho
, João Lucas de Sousa Almeida, Andrés Codas, Eloisa Bentivegna, Campbell D. Watson:
Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systems. ISC High Performance (Workshops) 2021: 56-72
[i6]Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz:
A modular framework for extreme weather generation. CoRR abs/2102.04534 (2021)
[i5]Eduardo Rodrigues, Bianca Zadrozny, Campbell D. Watson, David Gold:
Decadal Forecasts with ResDMD: a Residual DMD Neural Network. CoRR abs/2106.11111 (2021)
[i4]Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson:
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network. CoRR abs/2107.06846 (2021)
[i3]Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny:
A comparative study of stochastic and deep generative models for multisite precipitation synthesis. CoRR abs/2107.08074 (2021)
[i2]Dário Augusto Borges Oliveira, Jorge Guevara Diaz
, Bianca Zadrozny, Campbell D. Watson:
Controlling Weather Field Synthesis Using Variational Autoencoders. CoRR abs/2108.00048 (2021)
[i1]Ken C. L. Wong, Hongzhi Wang, Etienne Eben Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood:
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR abs/2112.05254 (2021)- 2020
[c1]Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger, Campbell D. Watson:
Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation. ISC High Performance (Workshops) 2020: 116-136
Coauthor Index

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last updated on 2026-06-29 01:28 CEST by the dblp team
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