31 citations · 74 across the 15 of their papers we have counts for
7 papers · 1 filter
Cisco Time Series Model Technical Report
Liang Gou, Archit Khare, Praneet Pabolu +10
We introduce the Cisco Time Series Model, a univariate zero-shot forecaster. This time series foundation model is the result of a general architectural innovation to a time series…
Associative Memories in the Feature Space
Tommaso Salvatori, Beren Millidge, Yuhang Song +2
An autoassociative memory model is a function that, given a set of data points, takes as input an arbitrary vector and outputs the most similar data point from the memorized set. H…
Predictive Coding beyond Gaussian Distributions
Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov +3
A large amount of recent research has the far-reaching goal of finding training methods for deep neural networks that can serve as alternatives to backpropagation (BP). A prominent…
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
Beren Millidge, Yuhang Song, Tommaso Salvatori +2
How the brain performs credit assignment is a fundamental unsolved problem in neuroscience. Many `biologically plausible' algorithms have been proposed, which compute gradients tha…
Learning on Arbitrary Graph Topologies via Predictive Coding
Tommaso Salvatori, Luca Pinchetti, Beren Millidge +4
Training with backpropagation (BP) in standard deep learning consists of two main steps: a forward pass that maps a data point to its prediction, and a backward pass that propagate…
Associative Memories via Predictive Coding
Tommaso Salvatori, Yuhang Song, Yujian Hong +5
Associative memories in the brain receive and store patterns of activity registered by the sensory neurons, and are able to retrieve them when necessary. Due to their importance in…
Reverse Differentiation via Predictive Coding
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz +2
Deep learning has redefined the field of artificial intelligence (AI) thanks to the rise of artificial neural networks, which are architectures inspired by their neurological count…