1 citations · 1 across the 9 of their papers we have counts for
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SONAR: Spectral-Contrastive Audio Residuals for Generalizable Deepfake Detection
Ido Nitzan Hidekel, Gal lifshitz, Khen Cohen +1
Deepfake (DF) audio detectors still struggle to generalize to out of distribution inputs. A central reason is spectral bias, the tendency of neural networks to learn low-frequency…
L-SR1: Learned Symmetric-Rank-One Preconditioning
Gal Lifshitz, Shahar Zuler, Ori Fouks +1
End-to-end deep learning has achieved impressive results but often relies on large labeled datasets, exhibits limited generalization to unseen scenarios, and incurs substantial com…
Systole-Conditioned Generative Cardiac Motion
Shahar Zuler, Gal Lifshitz, Hadar Averbuch-Elor +1
Accurate motion estimation in cardiac computed tomography (CT) imaging is critical for assessing cardiac function and surgical planning. Data-driven methods have become the standar…
Inverse Design of Diffractive Metasurfaces Using Diffusion Models
Liav Hen, Erez Yosef, Dan Raviv +2
Metasurfaces are ultra-thin optical elements composed of engineered sub-wavelength structures that enable precise control of light. Their inverse design - determining a geometry th…