Performance Models from Theory to Practice "A Case Study". - Vaibhav Agrawal; Chintan V. Raval; Vaishali V. Gulve (Int. CMG Conference, 2011)

Triggers for VTE Prophylaxis: Sociotechnical System Considerations. - Ann Schoofs Hundt; Peter Hoonakker; Jason Stamm; Vaibhav Agrawal; Brian W. Patterson; Pascale Carayon (AMIA, 2016)

Log-Based Cloud Monitoring System for OpenStack. - Vaibhav Agrawal; Devanjal Kotia; Kamelia Moshirian; Mihui Kim (BigDataService, 2018)

TriFinger: An Open-Source Robot for Learning Dexterity. - Manuel Wuthrich; Felix Widmaier; Felix Grimminger; Shruti Joshi; Vaibhav Agrawal; Bilal Hammoud; Majid Khadiv; Miroslav Bogdanovic; Vincent Berenz; Julian Viereck; Maximilien Naveau; Ludovic Righetti; et al. (CoRL, 2020)

TriFinger: An Open-Source Robot for Learning Dexterity. - Manuel Wüthrich; Felix Widmaier; Felix Grimminger; Joel Akpo; Shruti Joshi; Vaibhav Agrawal; Bilal Hammoud; Majid Khadiv; Miroslav Bogdanovic; Vincent Berenz; Julian Viereck; Maximilien Naveau; et al. (CoRR, 2020)

On the Transfer of Disentangled Representations in Realistic Settings. - Andrea Dittadi; Frederik Träuble; Francesco Locatello; Manuel Wuthrich; Vaibhav Agrawal; Ole Winther; Stefan Bauer; Bernhard Schölkopf (ICLR, 2021)

Real Robot Challenge: A Robotics Competition in the Cloud. - Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; et al. (NeurIPS (Competition and Demos), 2021)

A Robot Cluster for Reproducible Research in Dexterous Manipulation. - Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters 001; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang 005; Matthew R. Walter; et al. (CoRR, 2021)

FANS: flying ad-hoc network simulator. - Sarang C. Dhongdi; Mohit P. Tahiliani; Ojit Mehta; Mihir Dharmadhikari; Vaibhav Agrawal; Aditya Bidwai (LANC, 2022)

Heart Rate Estimation using Four-probe Electrical Impedance Plethysmography. - Vaibhav Agrawal; Anoop C. S. (ICST, 2023)

LineTR: Unified Text Line Segmentation for Challenging Palm Leaf Manuscripts. - Vaibhav Agrawal; Niharika Vadlamudi; Muhammad Waseem; Amal Joseph; Sreenya Chitluri; Ravi Kiran Sarvadevabhatla (ICPR (19), 2024)

Towards Global Localization using Multi-Modal Object-Instance Re-Identification. - Aneesh Chavan; Vaibhav Agrawal; Vineeth Bhat; Sarthak Chittawar; Siddharth Srivastava 004; Chetan Arora 001; K. Madhava Krishna (CoRR, 2024)

Compass Control: Multi Object Orientation Control for Text-to-Image Generation. - Rishubh Parihar; Vaibhav Agrawal; Sachidanand VS; Venkatesh Babu Radhakrishnan (CVPR, 2025)

Optimizing stroke lesion segmentation: A dual-approach using Gaussian mixture models and nnU-Net. - Adrian Mannel; Dhaval Khunt; Vaibhav Agrawal; Kristin Schelling; Eduardo Calderón; Christian la Fougère; Salvador Castaneda-Vega (Comput. Biol. Medicine, 2025)

Fixed-time synchronization of octonion-valued neural networks with mixed delays: A non-separation norm approach. - Vaibhav Agrawal; Sunny Singh; Vineet Kumar Singh; Subir Das (Neurocomputing, 2025)