Copertina

JPC: Flexible Inference for Predictive Coding Networks in JAX

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Innocenti, Francesco, Kinghorn, Paul, Yun-Farmbrough, Will, Varona, Miguel De Llanza, Singh, Ryan, Buckley, Christopher L.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
di: Innocenti, Francesco, et al.
Pubblicazione: (2024)

$μ$PC: Scaling Predictive Coding to 100+ Layer Networks
di: Innocenti, Francesco, et al.
Pubblicazione: (2025)

Kozax: Flexible and Scalable Genetic Programming in JAX
di: de Vries, Sigur, et al.
Pubblicazione: (2025)

Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
di: Innocenti, Francesco
Pubblicazione: (2025)

On the Infinite Width and Depth Limits of Predictive Coding Networks
di: Innocenti, Francesco, et al.
Pubblicazione: (2026)

Slax: A Composable JAX Library for Rapid and Flexible Prototyping of Spiking Neural Networks
di: Summe, Thomas M., et al.
Pubblicazione: (2024)

Predictive Coding Networks and Inference Learning: Tutorial and Survey
di: van Zwol, Björn, et al.
Pubblicazione: (2024)

Brain-inspired Computational Intelligence via Predictive Coding
di: Salvatori, Tommaso, et al.
Pubblicazione: (2023)

Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
di: Singh, Gaurav, et al.
Pubblicazione: (2024)

SNNAX -- Spiking Neural Networks in JAX
di: Lohoff, Jamie, et al.
Pubblicazione: (2024)

Introduction to Predictive Coding Networks for Machine Learning
di: Stenlund, Mikko
Pubblicazione: (2025)

Predictive Coding Graphs are a Superset of Feedforward Neural Networks
di: van Zwol, Björn
Pubblicazione: (2026)

Online Training of Hopfield Networks using Predictive Coding
di: Ganjidoost, Ehsan, et al.
Pubblicazione: (2024)

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
di: Salvatori, Tommaso, et al.
Pubblicazione: (2022)

Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
di: Yu, Ziqiao, et al.
Pubblicazione: (2025)

A Genetic Algorithm for Multi-Capacity Fixed-Charge Flow Network Design
di: Eardley, Caleb, et al.
Pubblicazione: (2024)

Architecture of a Cortex Inspired Hierarchical Event Recaller
di: Varona, Valentin Puente
Pubblicazione: (2024)

Simultaneous Genetic Evolution of Neural Networks for Optimal SFC Embedding
di: Krishnamohan, Theviyanthan, et al.
Pubblicazione: (2025)

Advanced Artificial Intelligence Strategy for Optimizing Urban Rail Network Design using Nature-Inspired Algorithms
di: Kumar, Hariram Sampath, et al.
Pubblicazione: (2024)

Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations
di: Osaba, Eneko, et al.
Pubblicazione: (2024)

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
di: Boissin, Thibaut, et al.
Pubblicazione: (2025)

Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
di: Wang, Lihao, et al.
Pubblicazione: (2024)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
di: Raptis, Spyridon, et al.
Pubblicazione: (2025)

A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks
di: Saponati, Matteo, et al.
Pubblicazione: (2026)

Continual Learning with Hebbian Plasticity in Sparse and Predictive Coding Networks: A Survey and Perspective
di: Safa, Ali
Pubblicazione: (2024)

Predicting Confinement Effect of Carbon Fiber Reinforced Polymers on Strength of Concrete using Metaheuristics-based Artificial Neural Networks
di: Wahab, Sarmed, et al.
Pubblicazione: (2023)

Unambiguous Representations in Neural Networks: An Information-Theoretic Approach to Intentionality
di: Lässig, Francesco
Pubblicazione: (2025)

Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
di: Liao, Rongjie, et al.
Pubblicazione: (2025)

GEAR: Genetic AutoResearch for Agentic Code Evolution
di: Jeddi, Ahmadreza, et al.
Pubblicazione: (2026)

Subfunction Structure Matters: A New Perspective on Local Optima Networks
di: Thomson, S. L., et al.
Pubblicazione: (2025)

Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents
di: Pedersen, Joachim Winther, et al.
Pubblicazione: (2024)

MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
di: Yun, Daniel
Pubblicazione: (2024)

A Synthesizable RTL Implementation of Predictive Coding Networks
di: Oh, Timothy
Pubblicazione: (2026)

Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
di: Sawal, Vedant, et al.
Pubblicazione: (2025)

Mem-elements based Neuromorphic Hardware for Neural Network Application
di: Singh, Ankur
Pubblicazione: (2024)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
di: van Stein, Niki, et al.
Pubblicazione: (2025)

Word2Spike: Poisson Rate Coding for Associative Memories and Neuromorphic Algorithms
di: Kalra, Archit, et al.
Pubblicazione: (2025)

Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States
di: Wang, Da, et al.
Pubblicazione: (2025)

CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
di: Chen, Kaiyuan, et al.
Pubblicazione: (2024)

Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks
di: Mali, Ankur, et al.
Pubblicazione: (2024)