:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vasilache, Alexandru, Nitzsche, Sven, Kneidl, Christian, Tekneyan, Mikael, Neher, Moritz, Becker, Juergen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.13416
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey
by: Vasilache, Alexandru, et al.
Published: (2024)

Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
by: Vasilache, Alexandru, et al.
Published: (2024)

A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications
by: Vasilache, Alexandru, et al.
Published: (2025)

Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity
by: Krausse, Jann, et al.
Published: (2025)

Training Neural Networks by Optimizing Neuron Positions
by: Erb, Laura, et al.
Published: (2025)

SINRL: Socially Integrated Navigation with Reinforcement Learning using Spiking Neural Networks
by: Tretter, Florian, et al.
Published: (2025)

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
by: Pachideh, Brian, et al.
Published: (2026)

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)

Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance
by: Ducoffe, Mélanie, et al.
Published: (2024)

Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?
by: Potter, Michael, et al.
Published: (2023)

From Detection to Mechanism: Cross-Attention Graph Neural Networks Enable Drug-Drug Interaction Type Prediction An Ablation Study with Acetylsalicylic Acid Validation
by: Dietrich, Juergen
Published: (2026)

Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
by: Bodden, Lennard, et al.
Published: (2024)

EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
by: Graf, Lars, et al.
Published: (2024)

Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
by: Kazim, Muhammad, et al.
Published: (2025)

Learned Random Label Predictions as a Neural Network Complexity Metric
by: Becker, Marlon, et al.
Published: (2024)

EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures
by: Lundstrom-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)

Using In-Service Train Vibration for Detecting Railway Maintenance Needs
by: Alisjahbana, Irene
Published: (2024)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)

Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
by: Holberg, Christian, et al.
Published: (2024)

Loss Spike in Training Neural Networks
by: Li, Xiaolong, et al.
Published: (2023)

ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
by: Jahin, Md Abrar, et al.
Published: (2026)

What Molecular Structure Cannot Tell Us: A Taxonomy of Explainability Gaps in GNN-Based Drug Toxicity Prediction
by: Dietrich, Juergen
Published: (2026)

Vibe2Spike: Batteryless Wireless Tags for Vibration Sensing with Event Cameras and Spiking Networks
by: Scott, Danny, et al.
Published: (2025)

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0
by: Larese, Darío C., et al.
Published: (2025)

Artificial Intelligence Based Predictive Maintenance for Electric Buses
by: Ercevik, Ayse Irmak, et al.
Published: (2025)

Staying Alive: Online Neural Network Maintenance and Systemic Drift
by: Hammond, Joshua E., et al.
Published: (2025)

Spiking Graph Neural Network on Riemannian Manifolds
by: Sun, Li, et al.
Published: (2024)

Quantization of Spiking Neural Networks Beyond Accuracy
by: Smith, Evan Gibson, et al.
Published: (2026)

Predicting Price Movements in High-Frequency Financial Data with Spiking Neural Networks
by: Ezinwoke, Brian, et al.
Published: (2025)

Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
by: Yamamoto, Kakei, et al.
Published: (2022)

Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring
by: Sehri, Mert, et al.
Published: (2025)

Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
by: Morrill, Todd, et al.
Published: (2026)

Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks
by: Storesund, Simen, et al.
Published: (2025)

Training of Spiking Neural Networks with Expectation-Propagation
by: Yao, Dan, et al.
Published: (2025)

Spiking Neural Networks with Random Network Architecture
by: Dai, Zihan, et al.
Published: (2025)

Sleep-Based Homeostatic Regularization for Stabilizing Spike-Timing-Dependent Plasticity in Recurrent Spiking Neural Networks
by: Massey, Andreas, et al.
Published: (2026)

ChronoPlastic Spiking Neural Networks
by: Chaudhry, Sarim
Published: (2025)

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

Random Spiking Neural Networks are Stable and Spectrally Simple
by: Araya, Ernesto, et al.
Published: (2025)

Tensor Decomposition Based Attention Module for Spiking Neural Networks
by: Deng, Haoyu, et al.
Published: (2023)