Chaymae Yahyati

Orcid: 0009-0002-2316-8140

According to our database1, Chaymae Yahyati authored at least 13 papers between 2025 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates.
CoRR, March, 2026

T3C: Test-Time Tensor Compression with Consistency Guarantees.
CoRR, January, 2026

Explainable Kolmogorov-Arnold Networks for Zero-Shot Human Activity Recognition on TinyML Edge Devices.
Mach. Learn. Knowl. Extr., 2026

Generative Internet of Things.
IT Prof., 2026

Tiny Deep Learning Models With Hybrid Compression Techniques for Gesture-Based Air Handwriting Recognition of English Alphabets on Edge Device.
IEEE Internet Things J., 2026

TinyHAR-UQ: Battery-aware, uncertainty-controlled tinyML for wearable activity recognition on IoT edge devices.
Internet Things, 2026

A Novel FastKAN With Few-Shot Learning for Real-Time Driver Distraction Detection on TinyML Microcontrollers.
IEEE Access, 2026

2025
BayesQ: Uncertainty-Guided Bayesian Quantization.
CoRR, November, 2025

SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML.
CoRR, August, 2025

TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML.
CoRR, August, 2025

An Explainable Tiny-Fast Kolmogorov-Arnold Network for Gesture-Based Air Handwriting Recognition of Tifinagh Letters in Resource-Constrained IoT Device.
IEEE Internet Things J., 2025

A Systematic Review of State-of-the-Art TinyML Applications in Healthcare, Education, and Transportation.
IEEE Access, 2025

Toward Neuromorphic TinyML for Efficient Visual Perception.
Proceedings of the 32nd IEEE International Conference on Electronics, Circuits and Systems, 2025


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