Itay Benou
Portrait photo of Itay Benou

Itay Benou

I'm a PhD student at Ben-Gurion University, under the supervision of Prof. Tammy Riklin-Raviv. My research focuses on explainable AI for multi-modal and vision models. I am particularly interested in making such models more transparent and controllable in critical domains.

Since 2021, I am a research scientist at Mobileye, working on core AI technologies for autonomous driving. Prior to that, I led a research team at Intel sports working on multiview video generation.

Selected Publications

Figure from Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models‏

Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models‏

Itay Benou, Tammy Riklin-Raviv

CVPR, 2025 Highlight
Project page Paper Code
Figure from Pure noise to the rescue of insufficient data: Improving imbalanced classification by training on random noise images‏

Pure noise to the rescue of insufficient data: Improving imbalanced classification by training on random noise images‏

Shiran Zada, Itay Benou, Michal Irani

ICML, 2022 Spotlight
Paper Code
Figure from Deeptract: A probabilistic deep learning framework for white matter fiber tractography‏

Deeptract: A probabilistic deep learning framework for white matter fiber tractography‏

Itay Benou, Tammy Riklin-Raviv

MICCAI, 2019
Paper Code
Figure from Combining white matter diffusion and geometry for tract-specific alignment and variability analysis‏

Combining white matter diffusion and geometry for tract-specific alignment and variability analysis‏

Itay Benou, Ronel Veksler, Alon Friedman, Tammy Riklin-Raviv

NeuroImage, 2019
Paper