Feedback control of paralleled symmetric systems, with applications to nonlinear dynamics of paralleled power converters. - Ankur Garg; David J. Perreault; George C. Verghese (ISCAS (5), 1999)

Denoising High Resolution Multispectral Images Using Deep Learning Approach. - Utkarsh Ojha; Ankur Garg (ICMLA, 2016)

Mining Credible and Relevant News from Social Networks. - Ankur Garg; Varun Syal; Pankaj Gudlani; Dhaval Patel 002 (BDA, 2017)

Smart Geo-fencing with Location Sensitive Product Affinity. - Ankur Garg; Sunav Choudhary; Payal Bajaj; Sweta Agrawal; Abhishek Kedia; Shubham Agrawal (SIGSPATIAL/GIS, 2017)

BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. - Anirban Santara; Kaustubh Mani; Pranoot Hatwar; Ankit Singh; Ankur Garg; Kirti Padia; Pabitra Mitra (IEEE Trans. Geosci. Remote. Sens., 2017)

Mentor Pattern Identification from Product Usage Logs. - Ankur Garg; Aman Kharb; Yash H. Malviya; J. P. Sagar; Atanu R. Sinha; Iftikhar Ahamath Burhanuddin; Sunav Choudhary (PAKDD (3), 2019)

PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. - Anirban Santara; Jayeeta Datta; Sourav Sarkar; Ankur Garg; Kirti Padia; Pabitra Mitra (CoRR, 2019)

DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets. - Litu Rout; Yatharath Bhateja; Ankur Garg; Indranil Mishra; S. Manthira Moorthi; Debajyoti Dhar (CoRR, 2019)

Data-Driven Compression of Convolutional Neural Networks. - Ramit Pahwa; Manoj Ghuhan Arivazhagan; Ankur Garg; Siddarth Krishnamoorthy; Rohit Saxena; Sunav Choudhary (CoRR, 2019)

KAGO: an approximate adaptive grid-based outlier detection approach using kernel density estimate. - Panthadeep Bhattacharjee; Ankur Garg; Pinaki Mitra (Pattern Anal. Appl., 2021)

No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity. - Neeraj Badal; Rajiv Soundararajan; Ankur Garg; Abhishek Patil (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Improving Web Accessibility Testing with Microsoft's Accessibility Insights for Web. - Kewal Shah; Ankur Garg; Carrie Bruce (HCI (44), 2023)

Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning. - Shovan Chowdhury; Fengqi Li; Avery Stubbings; Joshua R. New; Ankur Garg; Santiago Correa; Kevin Bacabac (IDSTA, 2023)

UNFOLD: 3-D U-Net, 3-D CNN, and 3-D Transformer-Based Hyperspectral Image Denoising. - Aditya Dixit; Anup Kumar Gupta; Puneet Gupta 002; Saurabh Srivastava 003; Ankur Garg (IEEE Trans. Geosci. Remote. Sens., 2023)

Integrated commercial and operations planning model for schedule design, aircraft rotation and crew scheduling in airlines. - Ankur Garg; Yogesh Agarwal; Rajiv Kumar Srivastava; Suresh Kumar Jakhar (Networks, 2024)

Landsat_combined_npz_files. - Aatmaj Amol Salunke; Ankur Garg (IEEE DataPort, 2024)

VISIONARY: Novel Spatial-Spectral Attention Mechanism for Hyperspectral Image Denoising. - Aditya Dixit; Nischit Hosamani; Puneet Gupta 002; Ankur Garg (WACV, 2025)

Cross-Layer Discrete Concept Discovery for Interpreting Language Models. - Ankur Garg; Xuemin Yu; Hassan Sajjad 001; Samira Ebrahimi Kahou (CoRR, 2025)