58 citations · 83 across the 8 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
stat.ML2022★ 2 cited
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixtures
Takashi Furuya, Hiroyuki Kusumoto, Koichi Taniguchi +2
Gaussian mixture distributions are commonly employed to represent general probability distributions. Despite the importance of using Gaussian mixtures for uncertainty estimation, t…
cs.LG2022★ 1 cited
SNN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks
Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin +1
As the scales of neural networks increase, techniques that enable them to run with low computational cost and energy efficiency are required. From such demands, various efficient n…