82 citations · 281 across the 31 of their papers we have counts for
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A probabilistic latent variable model for detecting structure in binary data
Christopher Warner, Kiersten Ruda, Friedrich T. Sommer
We introduce a novel, probabilistic binary latent variable model to detect noisy or approximate repeats of patterns in sparse binary data. The model is based on the "Noisy-OR model…
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…