Rohan Varma

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Sampling Strategies

Piecewise Smooth

Signal Recovery

Multitask Learning

Top Venues

Proc. VLDB Endow.

IEEE Trans. Signal Inf. Process. over Networks

Publications

Varun Barthwal, Man Mohan Singh Rauthan, Rohan Varma, Sachin Gaur
Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach. SN Comput. Sci. 5 (5) (2024)
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, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Shen Li
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. CoRR (2023)
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, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. Proc. VLDB Endow. 16 (12) (2023)
Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. MLSys (2023)
Varun Barthwal, Manmohan Singh Rauthan, Rohan Varma
SMA-LinR: An Energy and SLA-Aware Autonomous Management of Virtual Machines. Int. J. Cloud Appl. Comput. 12 (1) (2022)
Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
Vector-Valued Graph Trend Filtering With Non-Convex Penalties. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. Proc. VLDB Endow. 13 (12) (2020)
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. CoRR (2020)
Rohan Varma, Jelena Kovacevic
Smooth Signal Recovery on Product Graphs. ICASSP (2019)
Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
Vector-Valued Graph Trend Filtering with Non-Convex Penalties. CoRR (2019)
Rohan Varma, Harlin Lee, Yuejie Chi, Jelena Kovacevic
Improving Graph Trend Filtering with Non-convex Penalties. ICASSP (2019)
Rohan Varma, Jelena Kovacevic
Sampling Theory for Graph Signals on Product Graphs. CoRR (2018)
Mauro Mangia, Fabio Pareschi, Rohan Varma, Riccardo Rovatti, Jelena Kovacevic, Gianluca Setti
Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications. IEEE Trans. Circuits Syst. II Express Briefs (5) (2018)
Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma, Ziv Bar-Joseph
Reconstructing cancer drug response networks using multitask learning. BMC Syst. Biol. 11 (1) (2017)
Rohan Varma, Siheng Chen, Jelena Kovacevic
Graph topology recovery for regular and irregular graphs. CAMSAP (2017)
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
A statistical perspective of sampling scores for linear regression. ISIT (2016)
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. IEEE Trans. Signal Inf. Process. over Networks 2 (4) (2016)
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
Representations of piecewise smooth signals on graphs. ICASSP (2016)
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling. CoRR (2015)
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
Signal Representations on Graphs: Tools and Applications. CoRR (2015)
Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic
Discrete Signal Processing on Graphs: Sampling Theory. CoRR (2015)
Tianxi Ji, Siheng Chen, Rohan Varma, Jelena Kovacevic
Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery. Allerton (2015)
Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic
Discrete Signal Processing on Graphs: Sampling Theory. IEEE Trans. Signal Process. 63 (24) (2015)
Rohan Varma, Siheng Chen, Jelena Kovacevic
Spectrum-blind signal recovery on graphs. CAMSAP (2015)
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. CoRR (2015)