82 citations · 281 across the 31 of their papers we have counts for
4 papers · 1 filter
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…
Resonator Networks outperform optimization methods at solving high-dimensional vector factorization
Spencer J. Kent, E. Paxon Frady, Friedrich T. Sommer +1
We develop theoretical foundations of Resonator Networks, a new type of recurrent neural network introduced in Frady et al. (2020) to solve a high-dimensional vector factorization…
A simple method for detecting chaos in nature
Daniel Toker, Friedrich T. Sommer, Mark D'Esposito
Chaos, or exponential sensitivity to small perturbations, appears everywhere in nature. Moreover, chaos is predicted to play diverse functional roles in living systems. A method fo…
Robust computation with rhythmic spike patterns
E. Paxon Frady, Friedrich T. Sommer
Information coding by precise timing of spikes can be faster and more energy-efficient than traditional rate coding. However, spike-timing codes are often brittle, which has limite…