1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.NE2015★ 1 cited
Soft-Deep Boltzmann Machines
Taichi Kiwaki
We present a layered Boltzmann machine (BM) that can better exploit the advantages of a distributed representation. It is widely believed that deep BMs (DBMs) have far greater repr…
stat.ML2015★ 1 cited
Variational Optimization of Annealing Schedules
Taichi Kiwaki
Annealed importance sampling (AIS) is a common algorithm to estimate partition functions of useful stochastic models. One important problem for obtaining accurate AIS estimates is…
stat.ML2014
Approximated Infomax Early Stopping: Revisiting Gaussian RBMs on Natural Images
Taichi Kiwaki, Takaki Makino, Kazuyuki Aihara
We pursue an early stopping technique that helps Gaussian Restricted Boltzmann Machines (GRBMs) to gain good natural image representations in terms of overcompleteness and data fit…