Lakshmi Sathidevi
Orcid: 0000-0002-3593-3586
According to our database1,
Lakshmi Sathidevi
authored at least 7 papers
between 2022 and 2024.
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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
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
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