4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2018★ 4 cited
A Geometric Approach of Gradient Descent Algorithms in Linear Neural Networks
Yacine Chitour, Zhenyu Liao, Romain Couillet
In this paper, we propose a geometric framework to analyze the convergence properties of gradient descent trajectories in the context of linear neural networks. We translate a well…
cs.IT2008
A maximum entropy approach to OFDM channel estimation
Romain Couillet, Merouane Debbah
In this work, a new Bayesian framework for OFDM channel estimation is proposed. Using Jaynes' maximum entropy principle to derive prior information, we successively tackle the situ…