115 citations · 153 across the 4 of their papers we have counts for
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stat.ML2019
Learning in Volatile Environments with the Bayes Factor Surprise
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner +1
Surprise-based learning allows agents to rapidly adapt to non-stationary stochastic environments characterized by sudden changes. We show that exact Bayesian inference in a hierarc…
stat.ML2016★ 21 cited
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks
Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer +2
A big challenge in algorithmic composition is to devise a model that is both easily trainable and able to reproduce the long-range temporal dependencies typical of music. Here we i…