25.8k citations · 55.9k across the 29 of their papers we have counts for
4 papers · 1 filter
Emergence of Novelty in Evolutionary Algorithms
David Herel, Dominika Zogatova, Matej Kripner +1
One of the main problems of evolutionary algorithms is the convergence of the population to local minima. In this paper, we explore techniques that can avoid this problem by encour…
Computational Hierarchy of Elementary Cellular Automata
Barbora Hudcová, Tomáš Mikolov
The complexity of cellular automata is traditionally measured by their computational capacity. However, it is difficult to choose a challenging set of computational tasks suitable…
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin, Tomas Mikolov
Despite the recent achievements in machine learning, we are still very far from achieving real artificial intelligence. In this paper, we discuss the limitations of standard deep l…
Learning Longer Memory in Recurrent Neural Networks
Tomas Mikolov, Armand Joulin, Sumit Chopra +2
Recurrent neural network is a powerful model that learns temporal patterns in sequential data. For a long time, it was believed that recurrent networks are difficult to train using…