Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery. - Tianxi Ji; Siheng Chen; Rohan Varma; Jelena Kovacevic (Allerton, 2015)

Spectrum-blind signal recovery on graphs. - Rohan Varma; Siheng Chen; Jelena Kovacevic (CAMSAP, 2015)

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (CoRR, 2015)

Signal Representations on Graphs: Tools and Applications. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (CoRR, 2015)

Discrete Signal Processing on Graphs: Sampling Theory. - Siheng Chen; Rohan Varma; Aliaksei Sandryhaila; Jelena Kovacevic (IEEE Trans. Signal Process., 2015)

Representations of piecewise smooth signals on graphs. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (ICASSP, 2016)

A statistical perspective of sampling scores for linear regression. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (ISIT, 2016)

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. - Siheng Chen; Rohan Varma; Aarti Singh; Jelena Kovacevic (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Graph topology recovery for regular and irregular graphs. - Rohan Varma; Siheng Chen; Jelena Kovacevic (CAMSAP, 2017)

Reconstructing cancer drug response networks using multitask learning. - Matthew Ruffalo; Petar Stojanov; Venkata Krishna Pillutla; Rohan Varma; Ziv Bar-Joseph (BMC Syst. Biol., 2017)

Sampling Theory for Graph Signals on Product Graphs. - Rohan A. Varma; Jelena Kovacevic (GlobalSIP, 2018)

Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications. - Mauro Mangia; Fabio Pareschi; Rohan Varma; Riccardo Rovatti; Jelena Kovacevic; Gianluca Setti (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Smooth Signal Recovery on Product Graphs. - Rohan Varma; Jelena Kovacevic (ICASSP, 2019)

Improving Graph Trend Filtering with Non-convex Penalties. - Rohan Varma; Harlin Lee; Yuejie Chi; Jelena Kovacevic (ICASSP, 2019)

PyTorch Distributed: Experiences on Accelerating Data Parallel Training. - Shen Li; Yanli Zhao; Rohan Varma; Omkar Salpekar; Pieter Noordhuis; Teng Li 009; Adam Paszke; Jeff Smith; Brian Vaughan; Pritam Damania; Soumith Chintala (Proc. VLDB Endow., 2020)

Vector-Valued Graph Trend Filtering With Non-Convex Penalties. - Rohan Varma; Harlin Lee; Jelena Kovacevic; Yuejie Chi (IEEE Trans. Signal Inf. Process. over Networks, 2020)

SMA-LinR: An Energy and SLA-Aware Autonomous Management of Virtual Machines. - Varun Barthwal; Manmohan Singh Rauthan; Rohan Varma (Int. J. Cloud Appl. Comput., 2022)

PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. - Shen Li; Pritam Damania; Luca Wehrstedt; Rohan Varma; Omkar Salpekar; Pavel Belevich; Howard Huang; Yanli Zhao; Lucas Hosseini; Wanchao Liang; Hongyi Jia; Shihao Xu; et al. (MLSys, 2023)

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. - Yanli Zhao; Andrew Gu; Rohan Varma; Liang Luo; Chien-Chin Huang; Min Xu; Less Wright; Hamid Shojanazeri; Myle Ott; Sam Shleifer; Alban Desmaison; Can Balioglu; et al. (CoRR, 2023)

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. - Yanli Zhao; Andrew Gu; Rohan Varma; Liang Luo; Chien-Chin Huang; Min Xu; Less Wright; Hamid Shojanazeri; Myle Ott; Sam Shleifer; Alban Desmaison; Can Balioglu; et al. (Proc. VLDB Endow., 2023)

Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach. - Varun Barthwal; Man Mohan Singh Rauthan; Rohan Varma; Sachin Gaur (SN Comput. Sci., 2024)