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01/05/2023
Competitive learning to generate sparse representations for associative memory
One of the most well established brain principles, hebbian learning, has...
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11/25/2022
The smooth output assumption, and why deep networks are better than wide ones
When several models have similar training scores, classical model select...
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11/18/2022
Understanding the double descent curve in Machine Learning
The theory of bias-variance used to serve as a guide for model selection...
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10/26/2022
Multi-level Data Representation For Training Deep Helmholtz Machines
A vast majority of the current research in the field of Machine Learning...
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07/20/2022
Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?
It is generally assumed that the brain uses something akin to sparse dis...
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07/11/2022
Multiple-Modality Associative Memory: a framework for Learning
Drawing from memory the face of a friend you have not seen in years is a...
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04/30/2021
Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition
Although deep learning has solved difficult problems in visual pattern r...
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02/21/2020
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics
This paper explores interpretability techniques for two of the most succ...
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05/11/2019
Towards a Quantum-Like Cognitive Architecture for Decision-Making
We propose an alternative and unifying framework for decision-making tha...
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07/16/2018
Introducing Quantum-Like Influence Diagrams for Violations of the Sure Thing Principle
It is the focus of this work to extend and study the previously proposed...
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10/02/2017
The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with Uncertainty
In this work, we analyse and model a real life financial loan applicatio...
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08/26/2015
The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks
We analyse a quantum-like Bayesian Network that puts together cause/effe...
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09/30/2014
Interference Effects in Quantum Belief Networks
Probabilistic graphical models such as Bayesian Networks are one of the ...
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06/12/2013
