Imagen de Portada

Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Origer, Sebastien, Izzo, Dario
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Feedback Favors the Generalization of Neural ODEs
por: Jia, Jindou, et al.
Publicado: (2024)

Multi-scale Topology Optimization using Neural Networks
por: Chen, Hongrui, et al.
Publicado: (2024)

Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
por: Vinhas, Adriano, et al.
Publicado: (2024)

A Neural Network Training Method Based on Distributed PID Control
por: Kun, Jiang
Publicado: (2024)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
por: Mazandarani, Mehran, et al.
Publicado: (2025)

Restricted Bayesian Neural Network
por: Ganguly, Sourav, et al.
Publicado: (2024)

Deep Oscillatory Neural Network
por: Rohan, Nurani Rajagopal, et al.
Publicado: (2024)

Time Elastic Neural Networks
por: Marteau, Pierre-François
Publicado: (2024)

Polysemanticity and Capacity in Neural Networks
por: Scherlis, Adam, et al.
Publicado: (2022)

Continuous Spiking Graph Neural Networks
por: Yin, Nan, et al.
Publicado: (2024)

Sheaf Neural Networks and biomedical applications
por: Mehrab, Aneeqa, et al.
Publicado: (2026)

Spark: Modular Spiking Neural Networks
por: Franco, Mario, et al.
Publicado: (2026)

Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation
por: Azizi, Seyedarmin, et al.
Publicado: (2023)

Half-Space Feature Learning in Neural Networks
por: Yadav, Mahesh Lorik, et al.
Publicado: (2024)

Mechanistic Neural Networks for Scientific Machine Learning
por: Pervez, Adeel, et al.
Publicado: (2024)

Machine Unlearning using Forgetting Neural Networks
por: Hatua, Amartya, et al.
Publicado: (2024)

Structure of Artificial Neural Networks -- Empirical Investigations
por: Stier, Julian
Publicado: (2024)

Invariant Representations with Stochastically Quantized Neural Networks
por: Cerrato, Mattia, et al.
Publicado: (2022)

Geometry-Aware Spiking Graph Neural Network
por: Zhang, Bowen, et al.
Publicado: (2025)

Dynamic Spiking Framework for Graph Neural Networks
por: Yin, Nan, et al.
Publicado: (2023)

The Enduring Dominance of Deep Neural Networks: A Critical Analysis of the Fundamental Limitations of Quantum Machine Learning and Spiking Neural Networks
por: Ishikawa, Takehiro
Publicado: (2025)

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
por: Apolinario, Marco Paul E., et al.
Publicado: (2024)

Multi-Task Optimization over Networks of Tasks
por: Hatzky, Julian, et al.
Publicado: (2026)

Meta-Learning Loss Functions for Deep Neural Networks
por: Raymond, Christian
Publicado: (2024)

DL101 Neural Network Outputs and Loss Functions
por: Berzal, Fernando
Publicado: (2025)

Adversarially Robust Spiking Neural Networks Through Conversion
por: Özdenizci, Ozan, et al.
Publicado: (2023)

Uncertainty Aware Neural Network from Similarity and Sensitivity
por: Kabir, H M Dipu, et al.
Publicado: (2023)

Training Neural Networks with Optimal Double-Bayesian Learning
por: Bui, Vy, et al.
Publicado: (2026)

Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance
por: Hussien, Mostafa, et al.
Publicado: (2024)

Neural Architecture Search using Particle Swarm and Ant Colony Optimization
por: Lankford, Séamus, et al.
Publicado: (2024)

An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization
por: Afifi, Sohaib
Publicado: (2026)

Learning under noisy supervision is governed by a feedback-truth gap
por: Schonfeld, Elan, et al.
Publicado: (2026)

The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
por: Nguyen, Manh V., et al.
Publicado: (2024)

Enhancing Neural Network Representations with Prior Knowledge-Based Normalization
por: Faye, Bilal, et al.
Publicado: (2024)

Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
por: Krzywda, Maciej, et al.
Publicado: (2024)

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
por: Xiao, Mingqing, et al.
Publicado: (2024)

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
por: Soures, Nicholas, et al.
Publicado: (2024)

Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
por: Yin, Huifeng, et al.
Publicado: (2024)

STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network
por: Gianferrari, Matteo, et al.
Publicado: (2026)

Set-based Neural Network Encoding Without Weight Tying
por: Andreis, Bruno, et al.
Publicado: (2023)