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cs.LG2014
Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics
Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor
Energy-based models are popular in machine learning due to the elegance of their formulation and their relationship to statistical physics. Among these, the Restricted Boltzmann Ma…
cs.LG2014
Scoring and Classifying with Gated Auto-encoders
Daniel Jiwoong Im, Graham W. Taylor
Auto-encoders are perhaps the best-known non-probabilistic methods for representation learning. They are conceptually simple and easy to train. Recent theoretical work has shed lig…