Muthukumaran Ramasubramanian

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Tropical Cyclone

Similarity Search

Machine Learning

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Mike Little, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsendgar Lee
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR (2024)
Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR (2023)
Muthukumaran Ramasubramanian, Iksha Gurung, Leo Thomas, Kathryn Berger, Soumya Ranjan, Heidi Mok, Sowmya Subramanian, Vitor George, Manil Maskey, Rahul Ramachandran
A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. IGARSS (2023)
Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran
Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. IGARSS (2023)
Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew L. Molthan, Manil Maskey
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset. CoRR (2023)
R. Ramachandran, Muthukumaran Ramasubramanian, P. Koirala, Iksha Gurung, Manil Maskey
Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. IGARSS (2022)
Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul
Artificial Intelligence Vis-à-Vis Data Systems. IGARSS (2022)
Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee
Augmenting Data Systems with Prediction based Embeddings. IGARSS (2021)
Manil Maskey, Michael J. Falkowski, Kevin Murphy, Olaf Veerman, Ricardo Mestre, Iksha Gurung, Muthukumaran Ramasubramanian, Lillianne Thomas, Zhuangfang Yi, Drew Bollinger, Abigail Seadler, Yvonne Ivey
Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard. IGARSS (2021)
Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva
Employing Deep Learning to Enable Visual Exploration of Earth Science Events. IGARSS (2020)
Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller
Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Katrina Virts, Ashlyn Shirey, George Priftis, Kumar Ankur, Muthukumaran Ramasubramanian, Hassan Muhammad, Ashish Acharya, Rahul Ramachandran
A Quantitative Analysis on the Use of Supervised Machine Learning in Earth Science. IGARSS (2020)
Manil Maskey, Andrew Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil
Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. IGARSS (2019)