1 citations · 1 across the 3 of their papers we have counts for
6 papers
Jacobian-Aware Posterior Sampling for Inverse Problems
Liav Hen, Tom Tirer, Raja Giryes +1
Diffusion models provide powerful generative priors for solving inverse problems by sampling from a posterior distribution conditioned on corrupted measurements. Existing methods p…
Making Reconstruction FID Predictive of Diffusion Generation FID
Tongda Xu, Mingwei He, Shady Abu-Hussein +6
It is well known that the reconstruction FID (rFID) of a VAE is poorly correlated with the generation FID (gFID) of a latent diffusion model. We propose interpolated FID (iFID), a…
Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition
Lev Ayzenberg, Shady Abu-Hussein, Raja Giryes +1
Full data acquisition in MRI is inherently slow, which limits clinical throughput and increases patient discomfort. Compressed Sensing MRI (CS-MRI) seeks to accelerate acquisition…
Diffusion Models are Robust Pretrainers
Mika Yagoda, Shady Abu-Hussein, Raja Giryes
Diffusion models have gained significant attention for high-fidelity image generation. Our work investigates the potential of exploiting diffusion models for adversarial robustness…
ADIR: Adaptive Diffusion for Image Reconstruction
Shady Abu-Hussein, Tom Tirer, Raja Giryes
Denoising diffusion models have recently achieved remarkable success in image generation, capturing rich information about natural image statistics. This makes them highly promisin…
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein +4
Long-range sequence processing poses a significant challenge for Transformers due to their quadratic complexity in input length. A promising alternative is Mamba, which demonstrate…