651 citations · 1.4k across the 19 of their papers we have counts for
4 papers · 1 filter
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Jaan Aru, Aqeel Labash, Oriol Corcoll +1
Theory of Mind is an essential ability of humans to infer the mental states of others. Here we provide a coherent summary of the potential, current progress, and problems of deep l…
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops
Florian Stelzer, André Röhm, Raul Vicente +2
Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neur…
The many faces of deep learning
Raul Vicente
Deep learning has sparked a network of mutual interactions between different disciplines and AI. Naturally, each discipline focuses and interprets the workings of deep learning in…
APES: a Python toolbox for simulating reinforcement learning environments
Aqeel Labash, Ardi Tampuu, Tambet Matiisen +2
Assisted by neural networks, reinforcement learning agents have been able to solve increasingly complex tasks over the last years. The simulation environment in which the agents in…