A Path to Universal Neural Cellular Automata
Fuente:
arXiv
Saved in:
| Main Authors: | Béna, Gabriel, Faldor, Maxence, Goodman, Dan F. M., Cully, Antoine |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Visualising the Attractor Landscape of Neural Cellular Automata
by: Stovold, James, et al.
Published: (2026)
by: Stovold, James, et al.
Published: (2026)
Stability and Geometry of Attractors in Neural Cellular Automata
by: Kvalsund, Mia-Katrin, et al.
Published: (2026)
by: Kvalsund, Mia-Katrin, et al.
Published: (2026)
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
by: Faldor, Maxence, et al.
Published: (2025)
by: Faldor, Maxence, et al.
Published: (2025)
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity
by: Faldor, Maxence, et al.
Published: (2024)
by: Faldor, Maxence, et al.
Published: (2024)
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
by: Mitsides, Konstantinos, et al.
Published: (2025)
by: Mitsides, Konstantinos, et al.
Published: (2025)
On when is Reservoir Computing with Cellular Automata Beneficial?
by: Glover, Tom, et al.
Published: (2024)
by: Glover, Tom, et al.
Published: (2024)
Transductive Spiking Graph Neural Networks for Loihi
by: Snyder, Shay, et al.
Published: (2024)
by: Snyder, Shay, et al.
Published: (2024)
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
by: Gonzalez, Hector A., et al.
Published: (2024)
by: Gonzalez, Hector A., et al.
Published: (2024)
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
by: Faldor, Maxence, et al.
Published: (2023)
by: Faldor, Maxence, et al.
Published: (2023)
Insect-Wing Structured Microfluidic System for Reservoir Computing
by: Clouse, Jacob, et al.
Published: (2025)
by: Clouse, Jacob, et al.
Published: (2025)
Spatio-Temporal Pruning for Compressed Spiking Large Language Models
by: Jiang, Yi, et al.
Published: (2025)
by: Jiang, Yi, et al.
Published: (2025)
Self-Adaptive Ising Machines for Constrained Optimization
by: Delacour, Corentin
Published: (2025)
by: Delacour, Corentin
Published: (2025)
Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)
by: Döll, Michael, et al.
Published: (2025)
Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
by: Wright, Logan G, et al.
Published: (2026)
by: Wright, Logan G, et al.
Published: (2026)
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
by: Çakal, Uğurcan, et al.
Published: (2023)
by: Çakal, Uğurcan, et al.
Published: (2023)
Reservoir Computing Benchmarks: a tutorial review and critique
by: Wringe, Chester, et al.
Published: (2024)
by: Wringe, Chester, et al.
Published: (2024)
Analog Optical Inference on Million-Record Mortgage Data
by: Berloff, Sofia, et al.
Published: (2026)
by: Berloff, Sofia, et al.
Published: (2026)
Training Deep Boltzmann Networks with Sparse Ising Machines
by: Niazi, Shaila, et al.
Published: (2023)
by: Niazi, Shaila, et al.
Published: (2023)
Gradient descent in materia through homodyne gradient extraction
by: Boon, Marcus N., et al.
Published: (2021)
by: Boon, Marcus N., et al.
Published: (2021)
Unsupervised End-to-End Training with a Self-Defined Target
by: Liu, Dongshu, et al.
Published: (2024)
by: Liu, Dongshu, et al.
Published: (2024)
DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware
by: Göltz, Julian, et al.
Published: (2024)
by: Göltz, Julian, et al.
Published: (2024)
Deep Neuromorphic Networks with Superconducting Single Flux Quanta
by: Krylov, Gleb, et al.
Published: (2023)
by: Krylov, Gleb, et al.
Published: (2023)
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators
by: Patel, Karan P., et al.
Published: (2024)
by: Patel, Karan P., et al.
Published: (2024)
Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)
by: Karki, Samip, et al.
Published: (2024)
Event-based backpropagation on the neuromorphic platform SpiNNaker2
by: Béna, Gabriel, et al.
Published: (2024)
by: Béna, Gabriel, et al.
Published: (2024)
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
by: Dequino, Alberto, et al.
Published: (2024)
by: Dequino, Alberto, et al.
Published: (2024)
Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
by: Sunada, Satoshi, et al.
Published: (2025)
by: Sunada, Satoshi, et al.
Published: (2025)
Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
by: Castro, Bernard J. Giron, et al.
Published: (2023)
by: Castro, Bernard J. Giron, et al.
Published: (2023)
Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
by: Castro, Bernard J. Giron, et al.
Published: (2023)
by: Castro, Bernard J. Giron, et al.
Published: (2023)
Lagrange Oscillatory Neural Networks for Constraint Satisfaction and Optimization
by: Delacour, Corentin, et al.
Published: (2025)
by: Delacour, Corentin, et al.
Published: (2025)
Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing
by: Fischer, Stefan, et al.
Published: (2026)
by: Fischer, Stefan, et al.
Published: (2026)
Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity
by: Bahlous-Boldi, Ryan, et al.
Published: (2025)
by: Bahlous-Boldi, Ryan, et al.
Published: (2025)
Efficient Memristive Spiking Neural Networks Architecture with Supervised In-Situ STDP Method
by: Prajapati, Santlal, et al.
Published: (2025)
by: Prajapati, Santlal, et al.
Published: (2025)
Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task
by: Qu, Qianhou, et al.
Published: (2026)
by: Qu, Qianhou, et al.
Published: (2026)
Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training
by: Kilgore, Joseph A., et al.
Published: (2024)
by: Kilgore, Joseph A., et al.
Published: (2024)
Spike-based alignment learning solves the weight transport problem
by: Gierlich, Timo, et al.
Published: (2025)
by: Gierlich, Timo, et al.
Published: (2025)
Language Modeling on a SpiNNaker 2 Neuromorphic Chip
by: Nazeer, Khaleelulla Khan, et al.
Published: (2023)
by: Nazeer, Khaleelulla Khan, et al.
Published: (2023)
Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
by: Moghadam, Mehran Shoushtari, et al.
Published: (2025)
by: Moghadam, Mehran Shoushtari, et al.
Published: (2025)
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
by: Katti, Prabodh, et al.
Published: (2023)
by: Katti, Prabodh, et al.
Published: (2023)
A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators
by: Vatsavai, Sairam Sri, et al.
Published: (2024)
by: Vatsavai, Sairam Sri, et al.
Published: (2024)
Similar Items
-
Visualising the Attractor Landscape of Neural Cellular Automata
by: Stovold, James, et al.
Published: (2026) -
Stability and Geometry of Attractors in Neural Cellular Automata
by: Kvalsund, Mia-Katrin, et al.
Published: (2026) -
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
by: Faldor, Maxence, et al.
Published: (2025) -
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity
by: Faldor, Maxence, et al.
Published: (2024) -
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
by: Mitsides, Konstantinos, et al.
Published: (2025)