289 citations · 1.7k across the 90 of their papers we have counts for
103 papers
Sample- and Parameter-Efficient Auto-Regressive Image Models
Elad Amrani, Leonid Karlinsky, Alex Bronstein
We introduce XTRA, a vision model pre-trained with a novel auto-regressive objective that significantly enhances both sample and parameter efficiency compared to previous auto-regr…
Vector Quantile Regression on Manifolds
Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg +3
Quantile regression (QR) is a statistical tool for distribution-free estimation of conditional quantiles of a target variable given explanatory features. QR is limited by the assum…
Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim +8
We propose a novel, physically-constrained and differentiable approach for the generation of D-dimensional qudit states via spontaneous parametric down-conversion (SPDC) in quantum…
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI
Tamir Shor, Tomer Weiss, Dor Noti +1
Dynamic Magnetic Resonance Imaging (MRI) is known to be a powerful and reliable technique for the dynamic imaging of internal organs and tissues, making it a leading diagnostic too…
Spectral Graph Complexity
Anton Tsitsulin, Davide Mottin, Panagiotis Karras +2
We introduce a spectral notion of graph complexity derived from the Weyl's law. We experimentally demonstrate its correlation to how well the graph can be embedded in a low-dimensi…
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling
Barak Gahtan, Reuven Cohen, Alex M. Bronstein +1
We study the problem of real-time scheduling in a multi-hop millimeter-wave (mmWave) mesh. We develop a model-free deep reinforcement learning algorithm called Adaptive Activator R…