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cs.LG2023
Learning Recurrent Models with Temporally Local Rules
Azwar Abdulsalam, Joseph G. Makin
Fitting generative models to sequential data typically involves two recursive computations through time, one forward and one backward. The latter could be a computation of the loss…
cs.LG2022★ 3 cited
An Introduction to Modern Statistical Learning
Joseph G. Makin
This work in progress aims to provide a unified introduction to statistical learning, building up slowly from classical models like the GMM and HMM to modern neural networks like t…
cs.LG2016★ 6 cited
Recurrent Exponential-Family Harmoniums without Backprop-Through-Time
Joseph G. Makin, Benjamin K. Dichter, Philip N. Sabes
Exponential-family harmoniums (EFHs), which extend restricted Boltzmann machines (RBMs) from Bernoulli random variables to other exponential families (Welling et al., 2005), are ge…