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ORCIDParas Jain 0001
Person information
- affiliation: UC Berkeley, CA, USA
Other persons with the same name
- Paras Jain 0002
![[0000-0002-2288-6776]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2288-6776")
— Intellectual Ventures Laboratory/Global Good, Bellevue, WA, USA - Paras Jain 0003 — Georgia Institute of Technology, Atlanta, GA, USA
- Paras Jain 0004 — Jaypee University of Engineering and Technology, Raghogarh, Guna, MP, India
- Paras Jain 0005 — VIT Bhopal University, School of Computing Science and Engineering, Madhya, India
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2020 – today
- 2024
[c13]Sarah Wooders, Shu Liu, Paras Jain, Xiangxi Mo, Joseph E. Gonzalez, Vincent Liu, Ion Stoica:
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud. NSDI 2024: 281-296- 2023
- [b1]Paras Jain:
Towards Robust and Scalable Large Language Models. University of California, Berkeley, USA, 2023 - [c12]Paras Jain, Peter Kraft, Conor Power, Tathagata Das, Ion Stoica, Matei Zaharia:
Analyzing and Comparing Lakehouse Storage Systems. CIDR 2023 - [c11]Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica:
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. NSDI 2023: 1375-1389 - 2022
- [c10]Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini:
Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE 2022: 184-189 - [c9]Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez:
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML 2022: 17573-17583 - [i11]Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica:
Representing Long-Range Context for Graph Neural Networks with Global Attention. CoRR abs/2201.08821 (2022) - [i10]Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph E. Gonzalez:
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. CoRR abs/2207.07697 (2022) - [i9]Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica:
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. CoRR abs/2210.07259 (2022) - 2021
- [c8]Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) 2021: 1829-1838 - [c7]Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. EMNLP (1) 2021: 5954-5971 - [c6]Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica:
Representing Long-Range Context for Graph Neural Networks with Global Attention. NeurIPS 2021: 13266-13279 - [c5]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS 2021: 21043-21055 - [i8]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR abs/2107.10847 (2021) - [i7]Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding Improves Compositional Generalization in Question Answering. CoRR abs/2111.03642 (2021) - 2020
- [c4]Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez:
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys 2020 - [i6]Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. CoRR abs/2007.04973 (2020)
2010 – 2019
- 2019
- [c3]Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe:
Revec: program rejuvenation through revectorization. CC 2019: 29-41 - [c2]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops 2019: 128-136 - [c1]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops 2019: 1317-1325 - [i5]Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica:
Dynamic Space-Time Scheduling for GPU Inference. CoRR abs/1901.00041 (2019) - [i4]Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica:
The OoO VLIW JIT Compiler for GPU Inference. CoRR abs/1901.10008 (2019) - [i3]Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe:
Revec: Program Rejuvenation through Revectorization. CoRR abs/1902.02816 (2019) - [i2]Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez:
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. CoRR abs/1910.02653 (2019) - 2018
- [i1]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning. CoRR abs/1811.07070 (2018)
Coauthor Index
aka: Joseph E. Gonzalez
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