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05/29/2023
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning
Deep neural networks (DNNs) struggle to learn in dynamic environments si...
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06/18/2022
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
The goal of continual learning (CL) is to learn different tasks over tim...
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10/22/2020
PHEW: Paths with higher edge-weights give "winning tickets" without training data
Sparse neural networks have generated substantial interest recently beca...
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06/06/2019
Evolution of Hierarchical Structure Reuse in iGEM Synthetic DNA Sequences
Many complex systems, both in technology and nature, exhibit hierarchica...
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04/03/2019
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies
We first pose the Unsupervised Continual Learning (UCL) problem: learnin...
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10/22/2018
A neuro-inspired architecture for unsupervised continual learning based on online clustering and hierarchical predictive coding
We propose that the Continual Learning desiderata can be achieved throug...
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05/13/2018
Emergence and Evolution of Hierarchical Structure in Complex Systems
It is well known that many complex systems, both in technology and natur...
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02/23/2016
δ-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains
We propose δ-MAPS, a method that analyzes spatio-temporal data to first ...
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02/17/2016