Keystroke dynamics based biometric authentication: A hybrid classifier approach. - Chaitanya Dwivedi; Divyanshu Kalra; Divesh Naidu; Swati Aggarwal (SSCI, 2018)

Deep Probabilistic Kernels for Sample-Efficient Learning. - Ankur Mallick; Chaitanya Dwivedi; Bhavya Kailkhura; Gauri Joshi; Thomas Yong-Jin Han (CoRR, 2019)

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning. - Ankur Mallick; Chaitanya Dwivedi; Bhavya Kailkhura; Gauri Joshi; Thomas Yong-Jin Han (CoRR, 2020)

Deep kernels with probabilistic embeddings for small-data learning. - Ankur Mallick; Chaitanya Dwivedi; Bhavya Kailkhura; Gauri Joshi; Thomas Yong-Jin Han (UAI, 2021)

Multi stain graph fusion for multimodal integration in pathology. - Chaitanya Dwivedi; Shima Nofallah; Maryam Pouryahya; Janani Iyer; Kenneth Leidal; Chuhan Chung; Timothy Watkins; Andrew Billin; Robert Myers; John Abel; Ali Behrooz (CVPR Workshops, 2022)

Personalized Dense Retrieval on Global Index for Voice-enabled Conversational Systems. - Masha Belyi; Charlotte Dzialo; Chaitanya Dwivedi; Prajit Muppidi; Kanna Shimizu (EMNLP (Industry Track), 2023)

Performance Prediction of Hub-Based Swarms. - Puneet Jain; Chaitanya Dwivedi; Vigynesh Bhatt; Nick Smith; Michael A. Goodrich (CoRR, 2024)