:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Erb, Laura, Boccato, Tommaso, Vasilache, Alexandru, Becker, Juergen, Toschi, Nicola
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.13410
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance
by: Vasilache, Alexandru, et al.
Published: (2025)

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

A Differentiable Model for Optimizing the Genetic Drivers of Synaptogenesis
by: Boccato, Tommaso, et al.
Published: (2024)

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

Towards Neural Foundation Models for Vision: Aligning EEG, MEG, and fMRI Representations for Decoding, Encoding, and Modality Conversion
by: Ferrante, Matteo, et al.
Published: (2024)

Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing
by: Boccato, Tommaso, et al.
Published: (2024)

Hyperbolic Graph Neural Networks Under the Microscope: The Role of Geometry-Task Alignment
by: Naddeo, Dionisia, et al.
Published: (2026)

Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations
by: Ioniţă, Alexandru, et al.
Published: (2025)

Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
by: Wang, Hanyang, et al.
Published: (2025)

Towards the Training of Deeper Predictive Coding Neural Networks
by: Qi, Chang, et al.
Published: (2025)

Quantum-Enhanced Weight Optimization for Neural Networks Using Grover's Algorithm
by: Jura, Stefan-Alexandru, et al.
Published: (2025)

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
by: Liu, Zongxin, et al.
Published: (2024)

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

A Neural Network Training Method Based on Neuron Connection Coefficient Adjustments
by: Jiang, Kun
Published: (2025)

Learning Neural Networks by Neuron Pursuit
by: Kumar, Akshay, et al.
Published: (2025)

Accelerating Training with Neuron Interaction and Nowcasting Networks
by: Knyazev, Boris, et al.
Published: (2024)

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)

Bridging Auditory Perception and Language Comprehension through MEG-Driven Encoding Models
by: Ciferri, Matteo, et al.
Published: (2024)

Non-Singularity of the Gradient Descent map for Neural Networks with Piecewise Analytic Activations
by: Crăciun, Alexandru, et al.
Published: (2025)

Contextual Bandit Optimization with Pre-Trained Neural Networks
by: Terekhov, Mikhail
Published: (2025)

Transforming Multimodal Models into Action Models for Radiotherapy
by: Ferrante, Matteo, et al.
Published: (2025)

A Dimensionality Reduction Approach for Convolutional Neural Networks
by: Meneghetti, Laura, et al.
Published: (2021)

Super Consistency of Neural Network Landscapes and Learning Rate Transfer
by: Noci, Lorenzo, et al.
Published: (2024)

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients
by: Zhou, Feifan, et al.
Published: (2026)

A Stable Whitening Optimizer for Efficient Neural Network Training
by: Frans, Kevin, et al.
Published: (2025)

Automated Evolutionary Optimization for Resource-Efficient Neural Network Training
by: Revin, Ilia, et al.
Published: (2025)

Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction
by: Jura, Stefan-Alexandru, et al.
Published: (2025)

Exact Gauss-Newton Optimization for Training Deep Neural Networks
by: Korbit, Mikalai, et al.
Published: (2024)

Variance-Based Pruning for Accelerating and Compressing Trained Networks
by: Berisha, Uranik, et al.
Published: (2025)

ROOT: Robust Orthogonalized Optimizer for Neural Network Training
by: He, Wei, et al.
Published: (2025)

Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)

Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
by: Li, Zexi, et al.
Published: (2024)

Deep Neural Network Training as Random Effects: An Optimization-Inference Duality
by: Yao, Minhao, et al.
Published: (2026)

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

CHNNet: An Artificial Neural Network With Connected Hidden Neurons
by: Shahir, Rafiad Sadat, et al.
Published: (2023)

Graph Neural Modeling of Network Flows
by: Darvariu, Victor-Alexandru, et al.
Published: (2022)

Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification
by: Mao, Yuhao, et al.
Published: (2024)

Feed-Forward Optimization With Delayed Feedback for Neural Network Training
by: Flügel, Katharina, et al.
Published: (2023)