Muthukumaran Ramasubramanian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
2
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | INDUS: Effective and Efficient Language Models for Scientific Applications. | Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Flix Grzes, 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, Tsengdar J. Lee |
| 2024 | IGARSS | The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search. | Kaylin M. Bugbee, Ashish Acharya, Emily Foshee, Muthukumaran Ramasubramanian, Carson Davis, Bishwas Praveen, Kartik Nagaraja, Tarun Misra, Shravan Vishwanathan, Stephanie Wingo, Nikita Balsara, Xiang Li, Meghna Okhade, Justin John |
| 2023 | IGARSS | A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. | Muthukumaran Ramasubramanian, Iksha Gurung, Leo Thomas, Kathryn Berger, Soumya Ranjan, Heidi Mok, Sowmya Subramanian, Vitor George, Manil Maskey, Rahul Ramachandran |
| 2023 | IGARSS | Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. | Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran |
| 2022 | IGARSS | Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. | Rahul Ramachandran, Muthukumaran Ramasubramanian, Prasanna Koirala, Iksha Gurung, Manil Maskey |
| 2022 | IGARSS | Artificial Intelligence Vis--Vis Data Systems. | Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul |
| 2021 | IGARSS | Augmenting Data Systems with Prediction based Embeddings. | Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee |
| 2021 | IGARSS | Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard. | Manil Maskey, Michael Falkowski, Kevin Murphy, Olaf Veerman, Ricardo Mestre, Iksha Gurung, Muthukumaran Ramasubramanian, Lillianne Thomas, Zhuangfang Yi, Drew Bollinger, Abigail Seadler, Yvonne Ivey |
| 2020 | IGARSS | A Quantitative Analysis on the Use of Supervised Machine Learning in Earth Science. | Katrina Virts, Ashlyn Shirey, George Priftis, Kumar Ankur, Muthukumaran Ramasubramanian, Hassan Muhammad, Ashish Acharya, Rahul Ramachandran |
| 2020 | IGARSS | Employing Deep Learning to Enable Visual Exploration of Earth Science Events. | Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva |
| 2019 | IGARSS | Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. | Manil Maskey, Andrew L. Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil |