Lakshmi Sathidevi

Orcid: 0000-0002-3593-3586

According to our database1, Lakshmi Sathidevi authored at least 7 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Half-Hop: A graph upsampling approach for slowing down message passing.
Proceedings of the International Conference on Machine Learning, 2023

FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022
FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming.
CoRR, 2022

GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration.
CoRR, 2022

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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