activity
20162025
most citedOn-line Building Energy Optimization using Deep Reinforcement Learning

44 citations · 107 across the 12 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.NE20196 cited

On improving deep learning generalization with adaptive sparse connectivity

Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy

Large neural networks are very successful in various tasks. However, with limited data, the generalization capabilities of deep neural networks are also very limited. In this paper…

cs.NE2019

Learning with Delayed Synaptic Plasticity

Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu +2

The plasticity property of biological neural networks allows them to perform learning and optimize their behavior by changing their configuration. Inspired by biology, plasticity c…

cs.NE2019

Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions

Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu +3

A fundamental aspect of learning in biological neural networks is the plasticity property which allows them to modify their configurations during their lifetime. Hebbian learning i…

cs.NE20196 cited

Intrinsically Sparse Long Short-Term Memory Networks

Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy

Long Short-Term Memory (LSTM) has achieved state-of-the-art performances on a wide range of tasks. Its outstanding performance is guaranteed by the long-term memory ability which m…

cs.NE2019

Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware

Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam +2

Artificial Neural Networks (ANNs) have emerged as hot topics in the research community. Despite the success of ANNs, it is challenging to train and deploy modern ANNs on commodity…