P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. - Abhijeet Swain; Vaibhav Ganatra; Snehanshu Saha; Archana Mathur; Rekha Phadke (ICONIP (7), 2022)

Sketching 1D Stable Manifolds of 2D Maps Without the Inverse. - Vaibhav Ganatra; Soumitro Banerjee (Int. J. Bifurc. Chaos, 2022)

Logarithm-transform aided Gaussian Sampling for Few-Shot Learning. - Vaibhav Ganatra (ICCV (Workshops), 2023)

Detection Is Better Than Cure: A Cloud Incidents Perspective. - Vaibhav Ganatra; Anjaly Parayil; Supriyo Ghosh; Yu Kang 006; Minghua Ma; Chetan Bansal; Suman Nath; Jonathan Mace (ESEC/SIGSOFT FSE, 2023)

PRECISe : Prototype-Reservation for Explainable classification under Imbalanced and Scarce-Data Settings. - Vaibhav Ganatra; Drishti Goel (MLHC, 2024)

DEDector: Smartphone-Based Noninvasive Screening of Dry Eye Disease. - Vaibhav Ganatra; Soumyasis Gun; Pallavi Joshi; Anand Balasubramaniam; Kaushik Murali; Nipun Kwatra; Mohit Jain (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

On the Constancy of Latency at the Internet's Edge. - Aditya Bhat; Vaibhav Ganatra; Aniket Shaha; Balakrishnan Chandrasekaran 002; Vinayak Naik (TMA, 2025)

SmartKC++: Improving Performance of Smartphone-Based Corneal Topographers. - Vaibhav Ganatra; Siddhartha Gairola; Pallavi Joshi; Anand Balasubramaniam; Kaushik Murali; Arivunithi Varadharajan; Bellamkonda Mallikarjuna; Nipun Kwatra; Mohit Jain (WACV, 2025)