13 citations · 22 across the 8 of their papers we have counts for
4 papers · 1 filter
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks
Xuanzhe Xiao, Zeng Li, Chuanlong Xie +1
Unraveling the reasons behind the remarkable success and exceptional generalization capabilities of deep neural networks presents a formidable challenge. Recent insights from rando…
A Neural Network MCMC sampler that maximizes Proposal Entropy
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Markov Chain Monte Carlo (MCMC) methods sample from unnormalized probability distributions and offer guarantees of exact sampling. However, in the continuous case, unfavorable geom…
Complex Amplitude-Phase Boltzmann Machines
Zengyi Li, Friedrich T. Sommer
We extend the framework of Boltzmann machines to a network of complex-valued neurons with variable amplitudes, referred to as Complex Amplitude-Phase Boltzmann machine (CAP-BM). Th…
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Energy-Based Models (EBMs) assign unnormalized log-probability to data samples. This functionality has a variety of applications, such as sample synthesis, data denoising, sample r…