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ORCIDLakshmi Sathidevi
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2020 – today
- 2024
[c5]Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer:
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. WACV 2024: 2657-2667- 2023
- [c4]Rishov Sarkar
, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao:
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference. HPCA 2023: 1099-1112 - [c3]Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer:
Half-Hop: A graph upsampling approach for slowing down message passing. ICML 2023: 1341-1360 - [c2]Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao:
PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks. ISQED 2023: 1-7 - [i5]Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer:
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR abs/2301.00345 (2023) - [i4]Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer:
Half-Hop: A graph upsampling approach for slowing down message passing. CoRR abs/2308.09198 (2023) - [i3]Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer:
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. CoRR abs/2308.14596 (2023) - 2022
- [c1]Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer:
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. NeurIPS 2022 - [i2]Stefan Abi-Karam, Yuqi He, Rishov Sarkar, Lakshmi Sathidevi, Zihang Qiao, Cong Hao:
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration. CoRR abs/2201.08475 (2022) - [i1]Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao:
FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming. CoRR abs/2204.13103 (2022)
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