:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Nebli, Ahmed
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2512.01881
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function
por: Nebli, Ahmed, et al.
Publicado: (2026)

FedLion: Faster Adaptive Federated Optimization with Fewer Communication
por: Tang, Zhiwei, et al.
Publicado: (2024)

Fine-Tuning Adaptive Stochastic Optimizers: Determining the Optimal Hyperparameter $ε$ via Gradient Magnitude Histogram Analysis
por: Silva, Gustavo, et al.
Publicado: (2023)

Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
por: Chen, Lizhang, et al.
Publicado: (2023)

The Primacy of Magnitude in Low-Rank Adaptation
por: Zhang, Zicheng, et al.
Publicado: (2025)

Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
por: Jin, Dian, et al.
Publicado: (2025)

A Novel Unified Parametric Assumption for Nonconvex Optimization
por: Riabinin, Artem, et al.
Publicado: (2025)

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
por: Cheng, Wenhua, et al.
Publicado: (2023)

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
por: Choi, Moonseok, et al.
Publicado: (2023)

Layerwise LQR for Geometry-Aware Optimization of Deep Networks
por: Dufort-Labbé, Simon, et al.
Publicado: (2026)

Hierarchical Zero-Order Optimization for Deep Neural Networks
por: Cao, Sansheng, et al.
Publicado: (2026)

Network Topology Optimization via Deep Reinforcement Learning
por: Li, Zhuoran, et al.
Publicado: (2022)

MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
por: Zhang, Aozhong, et al.
Publicado: (2024)

Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
por: Van Der Donckt, Jeroen, et al.
Publicado: (2024)

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization
por: Nguyen, Thanh Thi, et al.
Publicado: (2025)

Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
por: Li, Gengsheng, et al.
Publicado: (2026)

Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
por: Galil, Ido, et al.
Publicado: (2025)

Application-Specific Component-Aware Structured Pruning of Deep Neural Networks in Control via Soft Coefficient Optimization
por: Sundaram, Ganesh, et al.
Publicado: (2025)

Magnitude-based Neuron Pruning for Backdoor Defens
por: Li, Nan, et al.
Publicado: (2024)

Beyond Yes or No: Predictive Compliance Monitoring Approaches for Quantifying the Magnitude of Compliance Violations
por: Chen, Qian, et al.
Publicado: (2025)

IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
por: Jung, Jaeheun, et al.
Publicado: (2025)

FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning
por: Herzog, Alexander, et al.
Publicado: (2024)

DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
por: Zhang, Zeyu, et al.
Publicado: (2024)

Optimizing Deep Neural Networks using Safety-Guided Self Compression
por: Zbeeb, Mohammad, et al.
Publicado: (2025)

Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization
por: Alvo, Matias, et al.
Publicado: (2023)

Deep Neural Networks via Complex Network Theory: a Perspective
por: La Malfa, Emanuele, et al.
Publicado: (2024)

Find A Winning Sign: Sign Is All We Need to Win the Lottery
por: Oh, Junghun, et al.
Publicado: (2025)

Detection of Odor Presence via Deep Neural Networks
por: Hassanloo, Matin, et al.
Publicado: (2025)

Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks
por: Li, Kevin, et al.
Publicado: (2024)

Higher-Order DeepTrails: Unified Approach to *Trails
por: Koopmann, Tobias, et al.
Publicado: (2023)

Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
por: Choi, Yoonhyuk, et al.
Publicado: (2024)

Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent
por: Liu, Weihua, et al.
Publicado: (2024)

Revolutionizing Communication with Deep Learning and XAI for Enhanced Arabic Sign Language Recognition
por: Balat, Mazen, et al.
Publicado: (2025)

Neural Network Optimal Power Flow via Energy Gradient Flow and Unified Dynamics
por: Liu, Xuezhi
Publicado: (2025)

Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
por: Li, Qi, et al.
Publicado: (2025)

Certified Signed Graph Unlearning
por: Zhao, Junpeng, et al.
Publicado: (2025)

Learning (Approximately) Equivariant Networks via Constrained Optimization
por: Manolache, Andrei, et al.
Publicado: (2025)

Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning
por: Ahmed, Soyed Tuhin
Publicado: (2024)

Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning
por: Cohen, Nadav, et al.
Publicado: (2024)

An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
por: Masud, Syed Rayhan, et al.
Publicado: (2026)