Andreas Wichert

Orcid: 0000-0002-2179-4378

Affiliations:
  • University of Lisbon, Portugal


According to our database1, Andreas Wichert authored at least 74 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Competitive learning to generate sparse representations for associative memory.
Neural Networks, November, 2023

Classification and generation of real-world data with an associative memory model.
Neurocomputing, September, 2023

Quantum Lernmatrix.
Entropy, June, 2023

Self-organizing maps on "what-where" codes towards fully unsupervised classification.
Biol. Cybern., June, 2023

2022
"What-Where" sparse distributed invariant representations of visual patterns.
Neural Comput. Appl., 2022

Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition.
Neurocomputing, 2022

The smooth output assumption, and why deep networks are better than wide ones.
CoRR, 2022

Understanding the double descent curve in Machine Learning.
CoRR, 2022

Multi-level Data Representation For Training Deep Helmholtz Machines.
CoRR, 2022

Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?
CoRR, 2022

Multiple-Modality Associative Memory: a framework for Learning.
CoRR, 2022

2021
Quantum-like Gaussian mixture model.
Soft Comput., 2021

Simple Convolutional-Based Models: Are They Learning the Task or the Data?
Neural Comput., 2021

Quantum Cognition and the Mind.
J. Artif. Intell. Conscious., 2021

Machine Learning - A Journey to Deep Learning - with Exercises and Answers
WorldScientific, ISBN: 9789811234071, 2021

2020
Quantum-like influence diagrams for decision-making.
Neural Networks, 2020

Storing Object-Dependent Sparse Codes in a Willshaw Associative Network.
Neural Comput., 2020

Balanced Quantum-Like Bayesian Networks.
Entropy, 2020

An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics.
CoRR, 2020

Principles of Quantum Artificial Intelligence - Quantum Problem Solving and Machine Learning, Second Edition
WorldScientific, ISBN: 9789811224324, 2020

2019
Principles of Quantum-like Evolution.
Open Syst. Inf. Dyn., 2019

Attention Inspired Network: Steep learning curve in an invariant pattern recognition model.
Neural Networks, 2019

Towards a Quantum-Like Cognitive Architecture for Decision-Making.
CoRR, 2019

2018
Balanced Quantum-Like Model for Decision Making.
Proceedings of the Quantum Interaction - 11th International Conference, 2018

Introducing Quantum-Like Influence Diagrams for Violations of the Sure Thing Principle.
Proceedings of the Quantum Interaction - 11th International Conference, 2018

2017
The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with Uncertainty.
CoRR, 2017

2016
Artificial intelligence and a universal quantum computer.
AI Commun., 2016

2015
Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity Rules.
PLoS Comput. Biol., 2015

On Projection Based Operators in l<sub>p</sub> Space for Exact Similarity Search.
Fundam. Informaticae, 2015

On Projection Based Operators in Lp space for Exact Similarity Search.
CoRR, 2015

Quantum Iterative Deepening with an application to the Halting problem.
CoRR, 2015

The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks.
Proceedings of the Quantum Interaction - 9th International Conference, 2015

Intelligent Big Multimedia Databases
WorldScientific, ISBN: 9789814696661, 2015

2014
Noise tolerance in a Neocognitron-like network.
Neural Networks, 2014

Taxonomical Associative Memory.
Cogn. Comput., 2014

Interference effects in quantum belief networks.
Appl. Soft Comput., 2014

2013
Intricacies of quantum computational paths.
Quantum Inf. Process., 2013

Proto logic and neural subsymbolic reasoning.
J. Log. Comput., 2013

Handwritten digit recognition using biologically inspired features.
Neurocomputing, 2013

Finding academic experts on a multisensor approach using Shannon's entropy.
Expert Syst. Appl., 2013

2012
A quantum production model.
Quantum Inf. Process., 2012

Can quantum entanglement detection schemes improve search?
Quantum Inf. Process., 2012

Iterative random projections for high-dimensional data clustering.
Pattern Recognit. Lett., 2012

Regarding the temporal requirements of a hierarchical Willshaw network.
Neural Networks, 2012

CBIR with a subspace tree: principal component analysis versus averaging.
Multim. Syst., 2012

Binary Willshaw learning yields high synaptic capacity for long-term familiarity memory.
Biol. Cybern., 2012

Product Quantization for Vector Retrieval with No Error.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 1, Wroclaw, Poland, 28 June, 2012

2011
Tree search and quantum computation.
Quantum Inf. Process., 2011

Tree-like hierarchical associative memory structures.
Neural Networks, 2011

The Role of Attention in the Context of Associative Memory.
Cogn. Comput., 2011

Problem-solving and Quantum Computation.
Cogn. Comput., 2011

From symbolic to sub-symbolic information in question classification.
Artif. Intell. Rev., 2011

A Hierarchical Sorting Oracle.
Proceedings of the Quantum Interaction - 5th International Symposium, 2011

Neural Sub-Symbolic Reasoning.
Proceedings of the Seventh International Workshop on Neural-Symbolic Learning and Reasoning, 2011

2010
Neocognitron and the Map Transformation Cascade.
Neural Networks, 2010

Subspace tree: high dimensional multimedia indexing with logarithmic temporal complexity.
J. Intell. Inf. Syst., 2010

2009
Sub-Symbols and Icons.
Cogn. Comput., 2009

Subspace Tree.
Proceedings of the Seventh International Workshop on Content-Based Multimedia Indexing, 2009

2008
Content-based image retrieval by hierarchical linear subspace method.
J. Intell. Inf. Syst., 2008

Visual search light model for mental problem solving.
Neurocomputing, 2008

Subspace indexing for extremely high-dimensional CBIR.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

2007
On Handling One-to-Many Transformations in Relational Systems.
Proceedings of the Enterprise Information Systems, 9th International Conference, 2007

One-to-many data transformation operations - optimization and execution on an RDBMS.
Proceedings of the ICEIS 2007, 2007

2006
Cell assemblies for diagnostic problem-solving.
Neurocomputing, 2006

Flexible kernels for RBF networks.
Neurocomputing, 2006

2005
Associative diagnosis.
Expert Syst. J. Knowl. Eng., 2005

Associative computer: a hybrid connectionistic production system.
Cogn. Syst. Res., 2005

2004
Categorial expert systems.
Expert Syst. J. Knowl. Eng., 2004

2002
Learning of associative prediction by experience.
Neurocomputing, 2002

2001
Pictorial reasoning with cell assemblies.
Connect. Sci., 2001

2000
Associative Computation.
PhD thesis, 2000

Associative Computation and Associative Prediction.
Proceedings of the Connectionist Models of Learning, 2000

1999
Audio-visual sensor fusion with neural architectures.
Proceedings of the Auditory-Visual Speech Processing, 1999

1997
Neural architectures for sensorfusion in speechrecognition.
Proceedings of the ESCA Workshop on Audio-Visual Speech Processing, 1997


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