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Rohan Varma
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2020 – today
- 2024
- [j9]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): 466 (2024) - 2023
- [j8]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): 3848-3860 (2023) - [c9]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 - [i8]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
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. CoRR abs/2304.11277 (2023) - 2022
- [j7]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): 1-24 (2022) - 2020
- [j6]Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. Proc. VLDB Endow. 13(12): 3005-3018 (2020) - [j5]Rohan Varma
Vector-Valued Graph Trend Filtering With Non-Convex Penalties. IEEE Trans. Signal Inf. Process. over Networks 6: 48-62 (2020) - [i7]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 abs/2006.15704 (2020)
2010 – 2019
- 2019
- [c8]Rohan Varma, Jelena Kovacevic:
Smooth Signal Recovery on Product Graphs. ICASSP 2019: 4958-4962 - [c7]Rohan Varma, Harlin Lee, Yuejie Chi
Improving Graph Trend Filtering with Non-convex Penalties. ICASSP 2019: 5391-5395 - [i6]Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi:
Vector-Valued Graph Trend Filtering with Non-Convex Penalties. CoRR abs/1905.12692 (2019) - 2018
- [j4]Mauro Mangia
Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications. IEEE Trans. Circuits Syst. II Express Briefs 65-II(5): 682-686 (2018) - [c6]Rohan A. Varma, Jelena Kovacevic:
Sampling Theory for Graph Signals on Product Graphs. GlobalSIP 2018: 768-772 - [i5]Rohan Varma, Jelena Kovacevic:
Sampling Theory for Graph Signals on Product Graphs. CoRR abs/1809.10049 (2018) - 2017
- [j3]Matthew Ruffalo
Reconstructing cancer drug response networks using multitask learning. BMC Syst. Biol. 11(1): 96:1-96:15 (2017) - [c5]Rohan Varma, Siheng Chen, Jelena Kovacevic:
Graph topology recovery for regular and irregular graphs. CAMSAP 2017: 1-5 - 2016
- [j2]Siheng Chen
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. IEEE Trans. Signal Inf. Process. over Networks 2(4): 539-554 (2016) - [c4]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Representations of piecewise smooth signals on graphs. ICASSP 2016: 6370-6374 - [c3]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
A statistical perspective of sampling scores for linear regression. ISIT 2016: 1556-1560 - 2015
- [j1]Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic:
Discrete Signal Processing on Graphs: Sampling Theory. IEEE Trans. Signal Process. 63(24): 6510-6523 (2015) - [c2]Tianxi Ji
Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery. Allerton 2015: 1414-1421 - [c1]Rohan Varma, Siheng Chen, Jelena Kovacevic:
Spectrum-blind signal recovery on graphs. CAMSAP 2015: 81-84 - [i4]Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic:
Discrete Signal Processing on Graphs: Sampling Theory. CoRR abs/1503.05432 (2015) - [i3]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling. CoRR abs/1504.05427 (2015) - [i2]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies. CoRR abs/1512.05405 (2015) - [i1]Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic:
Signal Representations on Graphs: Tools and Applications. CoRR abs/1512.05406 (2015)
Coauthor Index
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