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Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing


May 10, 2022
Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul, Jean Oh, Eric Nyberg

* 20 pages, 4 figures, 2 tables 

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CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning


Jan 20, 2022
Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam

* COSPAR 2021 Cross-Disciplinary Workshop on Machine Learning for Space Sciences, Sydney, Australia 

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Scalable Reverse Image Search Engine for NASAWorldview


Aug 10, 2021
Abhigya Sodani, Michael Levy, Anirudh Koul, Meher Anand Kasam, Siddha Ganju

* 7 pages, Published at COSPAR 2021, 6 figures 

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Scalable Data Balancing for Unlabeled Satellite Imagery


Jul 07, 2021
Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam

* Accepted to COSPAR 2021 Workshop on Machine Learning for Space Sciences. 5 pages, 9 figures 

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Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments


Jun 13, 2021
Sarah Chen, Esther Cao, Anirudh Koul, Siddha Ganju, Satyarth Praveen, Meher Anand Kasam


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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing


Mar 31, 2021
James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg

* 15 pages, 5 figures 

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Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA


Dec 27, 2020
Anirudh Koul, Siddha Ganju, Meher Kasam, James Parr

* Accepted to COSPAR 2021 Workshop on Cloud Computing for Space Sciences. arXiv admin note: text overlap with arXiv:2011.04776 

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Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA


Nov 09, 2020
Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr


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