Iksha Gurung

According to our database, Iksha Gurung authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

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, Tsengdar J. Lee

CoRR, 2024

Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study.

Paridhi Parajuli, Rajat Shinde, Iksha Gurung, Manil Maskey, Rahul Ramachandran

Proceedings of the IGARSS 2024, 2024

Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework.

Kaylin M. Bugbee, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Ge Peng, Deborah K. Smith, Iksha Gurung, Ashish Acharya, Jerika Christman

Proceedings of the IGARSS 2024, 2024

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, 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, Tsengdar J. Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset.

Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew L. Molthan, Manil Maskey

CoRR, 2023

Foundation Models for Generalist Geospatial Artificial Intelligence.

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

CoRR, 2023

Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery.

Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Exploring Blockchain to Support Open Science Practices.

Iksha Gurung, Slesa Adhikari, Abdelhak Marouane, Rajesh Pandey, Satkar Dhakal, Manil Maskey

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges.

Rahul Ramachandran, Muthukumaran Ramasubramanian, P. Koirala, Iksha Gurung, Manil Maskey

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Artificial Intelligence Vis-à-Vis Data Systems.

Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Augmenting Data Systems with Prediction based Embeddings.

Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System.

Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Applying Deep Learning to Hail Detection: A Case Study.

Melinda Pullman, Iksha Gurung, Manil Maskey, Rahul Ramachandran, Sundar A. Christopher

IEEE Trans. Geosci. Remote. Sens., 2019

Deep feature extraction and its application for hailstorm detection in a large collection of radar images.

Iksha Gurung, Chao Peng, Manil Maskey, Rahul Ramachandran

Signal Image Video Process., 2019

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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP).

Kaylin M. Bugbee, Christopher Lynnes, Manil Maskey, Aimee Barciauskas, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Earth Science Deep Learning: Applications and Lessons Learned.

Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018