Chaymae Yahyati

PhD student, mathematics and computer sciences, Université Mohammed Premier Oujda

Joined

August 2025

Names

Chaymae Yahyati (Preferred)

Emails

****@ump.ac.ma (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

PhD student

mathematics and computer sciences, Université Mohammed Premier Oujda (ump.ac.ma)

2024 – 2027

Advisors, Relations & Conflicts

Coauthor

Ismail Lamaakal

2025 – 2050

Coauthor

Yassine Maleh

2024 – 2050

PhD Advisor

Ibrahim Ouahbi

2025 – 2028

PhD Advisor

Khalid El Makkaoui

2025 – 2028

Expertise

Uncertainty Quantification

2025 – Present

Tiny Machine Learning

2024 – Present

Deep Learning

2024 – Present

Machine Learning

2024 – Present

Embedded Systems

2024 – Present

Publications

Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates
Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh
- CAO Poster
- Readers: Everyone
Clinically-Guided Counterfactuals (C³): Physics and Pathology-Aware Augmentation and Evaluation for Robust Medical Imaging Models
Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh, Khalid El Makkaoui, Ibrahim Ouahbi
- EurIPS 2025 Workshop MedEurIPS Submission
- Readers: Everyone
Simplex–FEM Networks (SiFEN): Learning a Triangulated Function Approximator
Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh
- ICLR 2026 Poster
- Readers: Everyone
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui, Ibrahim Ouahbi, Yassine Maleh
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone

Chaymae Yahyati

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates

Clinically-Guided Counterfactuals (C³): Physics and Pathology-Aware Augmentation and Evaluation for Robust Medical Imaging Models

Simplex–FEM Networks (SiFEN): Learning a Triangulated Function Approximator

SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML

TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML

Co-Authors