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2020 – today
- 2025
[c4]Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh Subramanian, Md. Osman Gani:
Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. PerCom Workshops 2025: 62-67- [c3]Michael MacFerrin
, Edward Boyda, Kimberly Young, Josephine M. Namayanja, Aneesh Subramanian, Mohamed F. Mokbel, Lujie Karen Chen, Vandana P. Janeja:
Engaging K-12 Learners in Data Annotation for AI Climate Models. SIGCSE (2) 2025: 1529-1530 - [i5]Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier M. Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, JangHyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem:
Building Machine Learning Challenges for Anomaly Detection in Science. CoRR abs/2503.02112 (2025) - 2024
- [c2]Subhankar Ghosh, Arun Sharma, Jayant Gupta, Aneesh Subramanian, Shashi Shekhar:
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results. SIGSPATIAL/GIS 2024: 372-383 - [i4]Emam Hossain, Md. Osman Gani, Devon Dunmire, Aneesh Subramanian, Hammad Younas:
Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet. CoRR abs/2410.05638 (2024) - [i3]Subhankar Ghosh, Arun Sharma, Jayant Gupta, Aneesh Subramanian, Shashi Shekhar:
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling. CoRR abs/2410.15628 (2024) - 2023
- [c1]Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang:
Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. ICMLA 2023: 689-696 - [i2]Nidhin Harilal, Bri-Mathias S. Hodge, Aneesh Subramanian, Claire Monteleoni:
STint: Self-supervised Temporal Interpolation for Geospatial Data. CoRR abs/2309.00059 (2023) - [i1]Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian:
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach. CoRR abs/2310.15179 (2023)
2010 – 2019
- 2018
- [j2]Kimberly Leung, Aneesh Subramanian, Samuel S. P. Shen:
Statistical Characteristics of Long-Term High-Resolution Precipitable Water Vapor Data at Darwin. Adv. Data Sci. Adapt. Anal. 10(4): 1850010:1-1850010:11 (2018) - 2016
- [j1]Kimberly Leung, Max Velado, Aneesh Subramanian, Guang J. Zhang, Richard C. J. Somerville, Samuel S. P. Shen:
Simulation of High-Resolution Precipitable Water Data by a Stochastic Model with a Random Trigger. Adv. Data Sci. Adapt. Anal. 8(2): 1650006:1-1650006:12 (2016)
Coauthor Index
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