96 citations · 269 across the 8 of their papers we have counts for
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cs.LG2021
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
Alberto Badias, Ashis Banerjee
We present a new framework to measure the intrinsic properties of (deep) neural networks. While we focus on convolutional networks, our framework can be extrapolated to any network…
cs.CV2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency
Beatriz Moya, Alberto Badias, David Gonzalez +2
Physics perception very often faces the problem that only limited data or partial measurements on the scene are available. In this work, we propose a strategy to learn the full sta…