Shyam A. Tailor

According to our database1, Shyam A. Tailor authored at least 15 papers between 2018 and 2025.

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Bibliography

2025
LSM-2: Learning from Incomplete Wearable Sensor Data.
CoRR, June, 2025


2024
Scaling Wearable Foundation Models.
CoRR, 2024

Towards a Personal Health Large Language Model.
CoRR, 2024

Transforming Wearable Data into Health Insights using Large Language Model Agents.
CoRR, 2024

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024.
CoRR, 2024

2022
Practical processing and acceleration of graph neural networks.
PhD thesis, 2022

Do We Need Anisotropic Graph Neural Networks?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions.
CoRR, 2021

Degree-Quant: Quantization-Aware Training for Graph Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Are Accelerometers for Activity Recognition a Dead-end?
Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

A first step towards on-device monitoring of body sounds in the wild.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2018
Bellrock: Anonymous Proximity Beacons From Personal Devices.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018


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