Luis Sa-Couto

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Visual Patterns

Pattern Recognition

Top Venues

Publications

Luis Sa-Couto, Andreas Wichert
Competitive learning to generate sparse representations for associative memory. CoRR (2023)
Rodrigo Simas, Luis Sa-Couto, Andreas Wichert
Classification and generation of real-world data with an associative memory model. Neurocomputing 551 (2023)
Luis Sa-Couto, Andreas Wichert
Self-organizing maps on "what-where" codes towards fully unsupervised classification. Biol. Cybern. 117 (3) (2023)
Luis Sa-Couto, Jose Miguel Ramos, Andreas Wichert
The smooth output assumption, and why deep networks are better than wide ones. CoRR (2022)
Jose Miguel Ramos, Luis Sa-Couto, Andreas Wichert
Multi-level Data Representation For Training Deep Helmholtz Machines. CoRR (2022)
Luis Sa-Couto, Jose Miguel Ramos, Miguel Almeida, Andreas Wichert
Understanding the double descent curve in Machine Learning. CoRR (2022)
Luis Sa-Couto, Andreas Wichert
Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition. Neurocomputing 495 (2022)
Rodrigo Simas, Luis Sa-Couto, Andreas Wichert
Multiple-Modality Associative Memory: a framework for Learning. CoRR (2022)
Luis Sa-Couto, Andreas Wichert
"What-Where" sparse distributed invariant representations of visual patterns. Neural Comput. Appl. 34 (8) (2022)
Luis Sa-Couto, Andreas Wichert
Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition. CoRR (2021)
Luis Sa-Couto, Andreas Wichert
Simple Convolutional-Based Models: Are They Learning the Task or the Data? Neural Comput. 33 (12) (2021)
Luis Sa-Couto, Andreas Wichert
Storing Object-Dependent Sparse Codes in a Willshaw Associative Network. Neural Comput. 32 (1) (2020)
Luis Sa-Couto, Andreas Wichert
Attention Inspired Network: Steep learning curve in an invariant pattern recognition model. Neural Networks 114 (2019)