Aruna Balasubramanian

Cao, Q., Balasubramanian, A., & Balasubramanian, N. (2021). Towards Accurate and Reliable Energy Measurement of NLP Models. SustaiNLP. Presented at the.

Cao, Q., Lal, Y., Trivedi, H., Balasubramanian, A., & Balasubramanian, N. (2021). IrEne: Interpretable Energy Prediction for Transformers. ACL. Presented at the.

Lal, Y., Singh, R., Trivedi, H., Cao, Q., Balasubramanian, A., & Balasubramanian, N. (2021). IrEne-viz: Visualizing Energy Consumption of Transformer Models. EMNLP Demo. Presented at the.

Dasari, M., Kahapatiya, K., Samaras, D., Balasubramanian, A., & Das, S. (2022). Swift: Adaptive Video Streaming with Layered Neural Codecs. NSDI . Presented at the.

Vargas, S., Gunapati, G., Gandhi, A., & Balasubramanian, A. (2022). Are Mobiles Ready for BBR? IMC. Presented at the.

Akgun, I. U., Vargas, S., Arkhangelskiy, M., Burford, A., McNeill, M., Balasubramanian, A., … Zadok, E. (2022). Predicting Network Buffer Capacity for BBR Fairness. ML for Systems Workshop NeurIPS. Presented at the.

Khanna, P., Feiz, S., Xu, J., Ramakirshnan, I., Jain, S., Bi, X., & Balasubramanian, A. (2023). AccessWear: Making Smartphone Applications Accessible to Blind Users . MobiCom . Presented at the. Madrid: ACM. (Original work published 2023)

Wu, Z., Yang, C. H. R., Vargas, S., & Balasubramanian, A. (2023). Is IPFS Ready for Decentralized Video Streaming? WWW ’23. Presented at the. (Original work published 2023)

Khanna, P., Ramakirshnan, I., Jain, S., Bi, X., & Balasubramanian, A. (2024). Hand Gesture Recognition for Blind Users by Tracking 3D Gesture Trajectory. CHI. Presented at the. ACM.

Sen, S., & Balasubramanian, A. (2018). A Highly Resilient and Scalable Broker architecture for IoT applications. COMSNETS. Presented at the. (Original work published 2018)