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.

Email / GitHub / Google Scholar / LinkedIn

Selected Publications

	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 /
	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 /
	Deeptract: A probabilistic deep learning framework for white matter fiber tractography‏ Itay Benou, Tammy Riklin-Raviv MICCAI, 2019 paper / code /
	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 /

Design and source code from Jon Barron's website

Itay Benou

Selected Publications

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

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

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

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