115 citations · 587 across the 62 of their papers we have counts for
10 papers · 1 filter
Self-Supervised Transformers for fMRI representation
Itzik Malkiel, Gony Rosenman, Lior Wolf +1
We present TFF, which is a Transformer framework for the analysis of functional Magnetic Resonance Imaging (fMRI) data. TFF employs a two-phase training approach. First, self-super…
Recovering AES Keys with a Deep Cold Boot Attack
Itamar Zimerman, Eliya Nachmani, Lior Wolf
Cold boot attacks inspect the corrupted random access memory soon after the power has been shut down. While most of the bits have been corrupted, many bits, at random locations, ha…
HyperHyperNetworks for the Design of Antenna Arrays
Shahar Lutati, Lior Wolf
We present deep learning methods for the design of arrays and single instances of small antennas. Each design instance is conditioned on a target radiation pattern and is required…
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation
Itzik Malkiel, Sangtae Ahn, Valentina Taviani +3
Recent accelerated MRI reconstruction models have used Deep Neural Networks (DNNs) to reconstruct relatively high-quality images from highly undersampled k-space data, enabling muc…
Many-Speakers Single Channel Speech Separation with Optimal Permutation Training
Shaked Dovrat, Eliya Nachmani, Lior Wolf
Single channel speech separation has experienced great progress in the last few years. However, training neural speech separation for a large number of speakers (e.g., more than 10…
Noise Estimation for Generative Diffusion Models
Robin San-Roman, Eliya Nachmani, Lior Wolf
Generative diffusion models have emerged as leading models in speech and image generation. However, in order to perform well with a small number of denoising steps, a costly tuning…