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20182020
most citedCooperative LIDAR Object Detection via Feature Sharing in Deep Networks

2 citations · 4 across the 4 of their papers we have counts for

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cs.LG2019★ 2 cited

Maximum Probability Theorem: A Framework for Probabilistic Learning

Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci +1

We present a theoretical framework of probabilistic learning derived by Maximum Probability (MP) Theorem shown in the current paper. In this probabilistic framework, a model is def…

cs.LG2018

Rediscovering Deep Neural Networks Through Finite-State Distributions

Amir Emad Marvasti, Ehsan Emad Marvasti, George Atia +1

We propose a new way of thinking about deep neural networks, in which the linear and non-linear components of the network are naturally derived and justified in terms of principles…