:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Berloff, Sofia, Koptev, Pavel, Malkov, Konstantin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Emerging Technologies Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2604.13251
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
by: Wright, Logan G, et al.
Published: (2026)

Insect-Wing Structured Microfluidic System for Reservoir Computing
by: Clouse, Jacob, et al.
Published: (2025)

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
by: Gonzalez, Hector A., et al.
Published: (2024)

Spatio-Temporal Pruning for Compressed Spiking Large Language Models
by: Jiang, Yi, et al.
Published: (2025)

Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
by: Çakal, Uğurcan, et al.
Published: (2023)

Reservoir Computing Benchmarks: a tutorial review and critique
by: Wringe, Chester, et al.
Published: (2024)

Self-Adaptive Ising Machines for Constrained Optimization
by: Delacour, Corentin
Published: (2025)

Training Deep Boltzmann Networks with Sparse Ising Machines
by: Niazi, Shaila, et al.
Published: (2023)

Gradient descent in materia through homodyne gradient extraction
by: Boon, Marcus N., et al.
Published: (2021)

Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)

Unsupervised End-to-End Training with a Self-Defined Target
by: Liu, Dongshu, et al.
Published: (2024)

Transductive Spiking Graph Neural Networks for Loihi
by: Snyder, Shay, et al.
Published: (2024)

A Path to Universal Neural Cellular Automata
by: Béna, Gabriel, et al.
Published: (2025)

DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardware
by: Göltz, Julian, et al.
Published: (2024)

Deep Neuromorphic Networks with Superconducting Single Flux Quanta
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)

Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
by: Katti, Prabodh, et al.
Published: (2023)

Optical Transformers
by: Anderson, Maxwell G., et al.
Published: (2023)

Analog Alchemy: Neural Computation with In-Memory Inference, Learning and Routing
by: Demirag, Yigit
Published: (2024)

Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
by: Moghadam, Mehran Shoushtari, 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)

Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
by: Castro, Bernard J. Giron, et al.
Published: (2023)

Language Modeling on a SpiNNaker 2 Neuromorphic Chip
by: Nazeer, Khaleelulla Khan, et al.
Published: (2023)

Dependence of Equilibrium Propagation Training Success on Network Architecture
by: Wang, Qingshan, et al.
Published: (2026)

Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfaces
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)

RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
by: Mia, Md Zesun Ahmed, et al.
Published: (2026)

Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
by: Chowdhury, Shuvro, et al.
Published: (2024)

Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
by: Borders, William A., et al.
Published: (2023)

Superposed parameterised quantum circuits
by: Patapovich, Viktoria, et al.
Published: (2025)

TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
by: Greatorex, Hugh, et al.
Published: (2024)

NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics
by: Shetty, Sanjana
Published: (2024)

Gradient-based Design of Computational Granular Crystals
by: Parsa, Atoosa, et al.
Published: (2024)

A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators
by: Vatsavai, Sairam Sri, et al.
Published: (2024)

Spike-based alignment learning solves the weight transport problem
by: Gierlich, Timo, et al.
Published: (2025)

Noise-Aware Training of Neuromorphic Dynamic Device Networks
by: Manneschi, Luca, et al.
Published: (2024)

A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing
by: Meyer, Svea Marie, et al.
Published: (2024)

Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process
by: Cheng, Yang, et al.
Published: (2024)

Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
by: Dequino, Alberto, et al.
Published: (2024)