2 papers
cs.CV2026
CBX-Bench: A Human-Aligned MLLM Council for Benchmarking Concept Bottleneck Model Explanations
Yusuf Meric Karadag, Gulay Oklan, Seref Baris Cagliyan +2
Concept Bottleneck Models (CBMs) are designed to make visual classification interpretable by expressing predictions through human-understandable concepts. Although interpretability…
cs.LG2025
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
Yusuf Meric Karadag, Ismail Talaz, Ipek Gursel Dino +1
The problem of Time-series Forecasting is generally addressed by recurrent, Transformer-based and the recently proposed Mamba-based architectures. However, existing architectures g…