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Anirudh Koul

Observed name: Koul, Anirudh
ORCID: 0000-0001-9786-9228
Observed ORCID: 0000-0001-9786-9228
OpenAlex ID: A5014692515
Explainability can foster trust in artificial intelligence in geoscience
2025 · Jesper Sören Dramsch, Monique M. Kuglitsch, et al. · Nature Geoscience · 56
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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
2021 · James Herman, Jonathan Francis, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 26
Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow
2019 · Anirudh Koul · 13
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
2022 · Francis, Jonathan, Chen, Bingqing, et al. · arXiv (Cornell University) · 9
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SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
2020 · Koul, Anirudh, Ganju, Siddha, et al. · arXiv (Cornell University) · 8
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Text Compression and Superfast Searching
2005 · Khurana, Udayan, Koul, Anirudh · arXiv (Cornell University) · 8
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Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA
2020 · Ganju, Siddha, Koul, Anirudh, et al. · arXiv (Cornell University) · 7
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YouRank: Let User Engagement Rank Microblog Search Results
2014 · Wenbo Wang, Lei Duan, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 4
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Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning
2022 · Narayanan, Tarun, Krishnan, Ajay, et al. · arXiv (Cornell University) · 3
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Artificial Intelligence Vis-à-Vis Data Systems
2022 · Manil Maskey, Rahul Ramachandran, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
2021 · Herman, James, Francis, Jonathan, et al. · arXiv (Cornell University) · 2
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Curator: A No-Code Self-Supervised Learning and Active Labeling Tool to Create Labeled Image Datasets from Petabyte-Scale Imagery
2021 · Rudy Venguswamy, Mike Levy, et al. · EGU General Assembly Conference Abstracts · 2
Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
2021 · Siddha Ganju, Sarah Chen, et al. · 1
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning
2022 · Kotha, Suhas, Koul, Anirudh, et al. · arXiv (Cornell University)
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Ghostbusters: How the Absence of Class Pairs in Multi-Class Multi-Label Datasets Impacts Classifier Accuracy
2022 · Sidharth Kathpal, Siddha Ganju, et al. · Communications in computer and information science
Leveraging Deep Generative Models and Self-Supervised Learning Techniques in Earth Science Observations I eLightning
2021 · Muthukumaran Ramasubramanian, Iksha Gurung, et al. · AGU Fall Meeting 2021
Scalable Reverse Image Search Engine for NASAWorldview
2021 · Sodani, Abhigya, Levy, Michael, et al. · arXiv (Cornell University)
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Scalable Data Balancing for Unlabeled Satellite Imagery
2021 · Patel, Deep, Gao, Erin, et al. · arXiv (Cornell University)
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Knowledge Discovery Framework: Deep Learning Applications for Remote Sensing
2020 · Matthew Benjamin Seeley, F. Civilini, et al. · AGU Fall Meeting Abstracts
Using Patterns to Generate Prime Numbers
2005 · Udayan Khurana, Anirudh Koul · Lecture notes in computer science
Works count: 20
Citation count: 141
H-index: 7
I10-index: 3
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