Video based adaptive road traffic signaling. - S. Indu 001; Varun Nair; Shashwat Jain; Santanu Chaudhury (ICDSC, 2013)

Assessment of the Suitability of NB-IoT Technology for ORM in Smart Grids. - Varun Nair; Remco Litjens; Haibin Zhang (EuCNC, 2018)

RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms. - Varun Nair; Javier Fuentes Alonso; Tony Beltramelli (CoRR, 2019)

Optimisation of NB-IoT deployment for smart energy distribution networks. - Varun Nair; Remco Litjens; Haibin Zhang (EURASIP J. Wirel. Commun. Netw., 2019)

Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. - Wei Hu; Ben Alexander; Wendell Cathcart; Atsushi Hu; Varun Nair; Lin Zuo; Jordan M. Malof; Leslie M. Collins; Kyle Bradbury (IGARSS, 2020)

Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models. - Varun Nair; Paul Rhee; Jichen Yang; Bohao Huang; Kyle Bradbury; Jordan M. Malof (IGARSS, 2020)

Training Neural Networks with Fixed Sparse Masks. - Yi-Lin Sung; Varun Nair; Colin Raffel (NeurIPS, 2021)

Adding more data does not always help: A study in medical conversation summarization with PEGASUS. - Varun Nair; Namit Katariya; Xavier Amatriain; Ilya Valmianski; Anitha Kannan (CoRR, 2021)

Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. - Varun Nair; Elliot Schumacher; Anitha Kannan (ClinicalNLP@ACL, 2023)

Extrinsically-Focused Evaluation of Omissions in Medical Summarization. - Elliot Schumacher; Daniel Rosenthal; Varun Nair; Luladay Price; Geoffrey J. Tso; Anitha Kannan (CoRR, 2023)

DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. - Varun Nair; Elliot Schumacher; Geoffrey J. Tso; Anitha Kannan (ClinicalNLP@NAACL, 2024)

MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization. - Elliot Schumacher; Daniel Rosenthal; Dhruv Naik; Varun Nair; Luladay Price; Geoffrey J. Tso; Anitha Kannan (ML4H@NeurIPS, 2024)

CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. - Albert Yu Sun; Varun Nair; Elliot Schumacher; Anitha Kannan (NAACL-HLT, 2024)