TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
Fuente:
arXiv
Saved in:
| Main Authors: | Lamaakal, Ismail, Yahyati, Chaymae, Makkaoui, Khalid El, Ouahbi, Ibrahim, Maleh, Yassine |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
by: Lamaakal, Ismail, et al.
Published: (2025)
by: Lamaakal, Ismail, et al.
Published: (2025)
T3C: Test-Time Tensor Compression with Consistency Guarantees
by: Lamaakal, Ismail, et al.
Published: (2026)
by: Lamaakal, Ismail, et al.
Published: (2026)
BayesQ: Uncertainty-Guided Bayesian Quantization
by: Lamaakal, Ismail, et al.
Published: (2025)
by: Lamaakal, Ismail, et al.
Published: (2025)
Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates
by: Lamaakal, Ismail, et al.
Published: (2026)
by: Lamaakal, Ismail, et al.
Published: (2026)
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
by: Yahyati, Chaymae, et al.
Published: (2025)
by: Yahyati, Chaymae, et al.
Published: (2025)
When Bits Break Recourse: Counterfactual-Faithful Quantization
by: Yahyati, Chaymae, et al.
Published: (2026)
by: Yahyati, Chaymae, et al.
Published: (2026)
BlockMEDC: Blockchain Smart Contracts for Securing Moroccan Higher Education Digital Certificates
by: Fartitchou, Mohamed, et al.
Published: (2024)
by: Fartitchou, Mohamed, et al.
Published: (2024)
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
by: Van Delm, Josse, et al.
Published: (2024)
by: Van Delm, Josse, et al.
Published: (2024)
StreamTinyNet: video streaming analysis with spatial-temporal TinyML
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2024)
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2024)
TinyML for Speech Recognition
by: Barovic, Andrew, et al.
Published: (2025)
by: Barovic, Andrew, et al.
Published: (2025)
TinySV: Speaker Verification in TinyML with On-device Learning
by: Pavan, Massimo, et al.
Published: (2024)
by: Pavan, Massimo, et al.
Published: (2024)
Motion-Compensated Weight Compression
by: Lamaakal, Ismail
Published: (2026)
by: Lamaakal, Ismail
Published: (2026)
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
by: Zeinaty, Christophe El, et al.
Published: (2025)
by: Zeinaty, Christophe El, et al.
Published: (2025)
QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring
by: Ghanathe, Nikhil P, et al.
Published: (2024)
by: Ghanathe, Nikhil P, et al.
Published: (2024)
MLonMCU: TinyML Benchmarking with Fast Retargeting
by: van Kempen, Philipp, et al.
Published: (2023)
by: van Kempen, Philipp, et al.
Published: (2023)
TinyML-Enabled IoT for Sustainable Precision Irrigation
by: Taueatsoala, Kamogelo, et al.
Published: (2026)
by: Taueatsoala, Kamogelo, et al.
Published: (2026)
TinyML Enhances CubeSat Mission Capabilities
by: Capogrosso, Luigi, et al.
Published: (2026)
by: Capogrosso, Luigi, et al.
Published: (2026)
COPU: Conformal Prediction for Uncertainty Quantification in Natural Language Generation
by: Wang, Sean, et al.
Published: (2025)
by: Wang, Sean, et al.
Published: (2025)
Integration of TinyML and LargeML: A Survey of 6G and Beyond
by: Vu, Thai-Hoc, et al.
Published: (2025)
by: Vu, Thai-Hoc, et al.
Published: (2025)
Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions
by: Fayyaz, Yasamin, et al.
Published: (2026)
by: Fayyaz, Yasamin, et al.
Published: (2026)
Securing Radiation Detection Systems with an Efficient TinyML-Based IDS for Edge Devices
by: Pizarro, Einstein Rivas, et al.
Published: (2025)
by: Pizarro, Einstein Rivas, et al.
Published: (2025)
Enhancing TinyML Security: Study of Adversarial Attack Transferability
by: Shah, Parin, et al.
Published: (2024)
by: Shah, Parin, et al.
Published: (2024)
On-device Online Learning and Semantic Management of TinyML Systems
by: Ren, Haoyu, et al.
Published: (2024)
by: Ren, Haoyu, et al.
Published: (2024)
TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
by: Almaini, Amar, et al.
Published: (2026)
by: Almaini, Amar, et al.
Published: (2026)
Accelerating TinyML Inference on Microcontrollers through Approximate Kernels
by: Armeniakos, Giorgos, et al.
Published: (2024)
by: Armeniakos, Giorgos, et al.
Published: (2024)
TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
by: Roy, Pooria, et al.
Published: (2026)
by: Roy, Pooria, et al.
Published: (2026)
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
by: Ramalingam, Ramya, et al.
Published: (2024)
by: Ramalingam, Ramya, et al.
Published: (2024)
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
by: Wang, Ziyu, et al.
Published: (2024)
by: Wang, Ziyu, et al.
Published: (2024)
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
by: Liu, Xiaoou, et al.
Published: (2025)
by: Liu, Xiaoou, et al.
Published: (2025)
Rethinking Temporal Models for TinyML: LSTM versus 1D-CNN in Resource-Constrained Devices
by: Saha, Bidyut, et al.
Published: (2026)
by: Saha, Bidyut, et al.
Published: (2026)
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
by: Xiao, Quan, et al.
Published: (2025)
by: Xiao, Quan, et al.
Published: (2025)
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
by: Dehrouyeh, Fatemeh, et al.
Published: (2024)
by: Dehrouyeh, Fatemeh, et al.
Published: (2024)
MicroFlow: An Efficient Rust-Based Inference Engine for TinyML
by: Carnelos, Matteo, et al.
Published: (2024)
by: Carnelos, Matteo, et al.
Published: (2024)
A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management
by: Sucipto, Willy, et al.
Published: (2025)
by: Sucipto, Willy, et al.
Published: (2025)
Optimizing Split Learning Latency in TinyML-Based IoT Systems
by: Jenhani, Zied, et al.
Published: (2025)
by: Jenhani, Zied, et al.
Published: (2025)
TinyML Induced Portable Food Defect Detection for Edge Computing
by: Yanxia Liu
Published: (2025)
by: Yanxia Liu
Published: (2025)
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)
by: Deutel, Mark, et al.
Published: (2023)
Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML
by: Shaalan, Yassien
Published: (2026)
by: Shaalan, Yassien
Published: (2026)
TGTM: TinyML-based Global Tone Mapping for HDR Sensors
by: Todorov, Peter, et al.
Published: (2024)
by: Todorov, Peter, et al.
Published: (2024)
Similar Items
-
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
by: Lamaakal, Ismail, et al.
Published: (2025) -
T3C: Test-Time Tensor Compression with Consistency Guarantees
by: Lamaakal, Ismail, et al.
Published: (2026) -
BayesQ: Uncertainty-Guided Bayesian Quantization
by: Lamaakal, Ismail, et al.
Published: (2025) -
Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates
by: Lamaakal, Ismail, et al.
Published: (2026) -
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
by: Yahyati, Chaymae, et al.
Published: (2025)