134 citations · 306 across the 8 of their papers we have counts for
9 papers
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy +2
A promising way to mitigate the expensive process of obtaining a high-dimensional signal is to acquire a limited number of low-dimensional measurements and solve an under-determine…
Variational Learning ISTA
Fabio Valerio Massoli, Christos Louizos, Arash Behboodi
Compressed sensing combines the power of convex optimization techniques with a sparsity-inducing prior on the signal space to solve an underdetermined system of equations. For many…
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
Fabio Valerio Massoli, Tim Bakker, Thomas Hehn +2
In recent years, solving optimization problems involving black-box simulators has become a point of focus for the machine learning community due to their ubiquity in science and en…
Vision-Assisted Digital Twin Creation for mmWave Beam Management
Maximilian Arnold, Bence Major, Fabio Valerio Massoli +2
In the context of communication networks, digital twin technology provides a means to replicate the radio frequency (RF) propagation environment as well as the system behaviour, al…
Equivariant Priors for Compressed Sensing with Unknown Orientation
Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli +1
In compressed sensing, the goal is to reconstruct the signal from an underdetermined system of linear measurements. Thus, prior knowledge about the signal of interest and its struc…
Search for Electronic Recoil Event Rate Modulation with 4 Years of XENON100 Data
The XENON collaboration, E. Aprile, J. Aalbers +111
We report on a search for electronic recoil event rate modulation signatures in the XENON100 data accumulated over a period of 4 years, from January 2010 to January 2014. A profile…