Luis Sa-Couto

16 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multilevel Data Representation for Training Deep Helmholtz Machines. Neural Comput. Jose Miguel Ramos, Luis Sa-Couto, Andreas Wichert
2024	J	`jnl`	Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data? Biol. Cybern. Maria Osório, Luis Sa-Couto, Andreas Wichert
2023	J	`jnl`	Classification and generation of real-world data with an associative memory model. Neurocomputing Rodrigo Simas, Luis Sa-Couto, Andreas Wichert
2023	J	`jnl`	Competitive learning to generate sparse representations for associative memory. CoRR Luis Sa-Couto, Andreas Wichert
2023	J	`jnl`	Self-organizing maps on "what-where" codes towards fully unsupervised classification. Biol. Cybern. Luis Sa-Couto, Andreas Wichert
2022	J	`jnl`	"What-Where" sparse distributed invariant representations of visual patterns. Neural Comput. Appl. Luis Sa-Couto, Andreas Wichert
2022	J	`jnl`	Multi-level Data Representation For Training Deep Helmholtz Machines. CoRR Jose Miguel Ramos, Luis Sa-Couto, Andreas Wichert
2022	J	`jnl`	Multiple-Modality Associative Memory: a framework for Learning. CoRR Rodrigo Simas, Luis Sa-Couto, Andreas Wichert
2022	J	`jnl`	The smooth output assumption, and why deep networks are better than wide ones. CoRR Luis Sa-Couto, Jose Miguel Ramos, Andreas Wichert
2022	J	`jnl`	Understanding the double descent curve in Machine Learning. CoRR Luis Sa-Couto, Jose Miguel Ramos, Miguel Almeida, Andreas Wichert
2022	J	`jnl`	Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition. Neurocomputing Luis Sa-Couto, Andreas Wichert
2021	—	`book`	Machine Learning - A Journey to Deep Learning - with Exercises and Answers Machine Learning - A Journey to Deep Learning Andreas Wichert, Luis Sa-Couto
2021	J	`jnl`	Simple Convolutional-Based Models: Are They Learning the Task or the Data? Neural Comput. Luis Sa-Couto, Andreas Wichert
2021	J	`jnl`	Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition. CoRR Luis Sa-Couto, Andreas Wichert
2020	J	`jnl`	Storing Object-Dependent Sparse Codes in a Willshaw Associative Network. Neural Comput. Luis Sa-Couto, Andreas Wichert
2019	J	`jnl`	Attention Inspired Network: Steep learning curve in an invariant pattern recognition model. Neural Networks Luis Sa-Couto, Andreas Wichert