A Case for Generalizable DNN Cost Models for Mobile Devices. - Vinod Ganesan; Surya Selvam; Sanchari Sen; Pratyush Kumar; Anand Raghunathan (IISWC, 2020)

FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays. - Surya Selvam; Vinod Ganesan; Pratyush Kumar (DATE, 2021)

Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. - Shrihari Sridharan; Surya Selvam; Kaushik Roy 001; Anand Raghunathan (DAC, 2024)

Efficient Batched Inference in Conditional Neural Networks. - Surya Selvam; Amrit Nagarajan; Anand Raghunathan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

SimCache: Similarity Caching for Efficient VLM-based Scene Understanding. - Surya Selvam; Ravi K. Rajendran; Murugan Sankaradas; Anand Raghunathan; Srimat T. Chakradhar (CVPR Workshops, 2025)