Representation Learning in a Decomposed Encoder Design for Bio-Inspired Hebbian Learning. - Achref Jaziri; Sina Ditzel; Iuliia Pliushch; Visvanathan Ramesh (ECCV Workshops (14), 2024)

Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation. - Achref Jaziri; Martin Mundt; Andres Fernandez Rodriguez; Visvanathan Ramesh (WACV, 2024)

Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion. - Achref Jaziri; Etienne Künzel; Visvanathan Ramesh (CoRR, 2024)

Uncertainty-Aware Decomposed Hybrid Networks. - Sina Ditzel; Achref Jaziri; Iuliia Pliushch; Visvanathan Ramesh (CoRR, 2025)

synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? - Johannes Flotzinger; Fabian Deuser; Achref Jaziri; Heiko Neumann; Norbert Oswald; Visvanathan Ramesh; Thomas Braml (CoRR, 2025)

A Simple Baseline for Stable and Plastic Neural Networks. - Etienne Künzel; Achref Jaziri; Visvanathan Ramesh (CoRR, 2025)