2 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
Disentanglement by means of action-induced representations
Gorka Muñoz-Gil, Hendrik Poulsen Nautrup, Arunava Majumder +4
Learning interpretable representations with variational autoencoders (VAEs) is a major goal of representation learning. The main challenge lies in obtaining disentangled representa…
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
Philip A. LeMaitre, Marius Krumm, Hans J. Briegel
With the impressive progress of deep learning, applications relying on machine learning are increasingly being integrated into daily life. However, most deep learning models have a…
The Work Capacity of Channels with Memory: Maximum Extractable Work in Percept-Action Loops
Lukas J. Fiderer, Paul C. Barth, Isaac D. Smith +1
Predicting future observations plays a central role in machine learning, biology, economics, and many other fields. It lies at the heart of organizational principles such as the va…