Cover Image

CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Akhtar, Mushir, Tanveer, M., Arshad, Mohd.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach
by: Akhtar, Mushir, et al.
Published: (2024)

HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function
by: Akhtar, Mushir, et al.
Published: (2024)

RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning
by: Akhtar, Mushir, et al.
Published: (2023)

GL-TSVM: A robust and smooth twin support vector machine with guardian loss function
by: Akhtar, Mushir, et al.
Published: (2024)

Advancing RVFL networks: Robust classification with the HawkEye loss function
by: Akhtar, Mushir, et al.
Published: (2024)

Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance
by: Akhtar, Mushir, et al.
Published: (2024)

R^2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework
by: Kumari, Anuradha, et al.
Published: (2025)

RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
by: Sajid, M., et al.
Published: (2025)

Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles
by: Quadir, A., et al.
Published: (2024)

CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines
by: Mishra, Ritik, et al.
Published: (2025)

Twin Restricted Kernel Machines for Multiview Classification
by: Quadir, A., et al.
Published: (2025)

Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
by: Tanveer, M., et al.
Published: (2024)

Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function
by: Sajid, M., et al.
Published: (2024)

GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing
by: Sajid, M., et al.
Published: (2024)

Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System
by: Sajid, M., et al.
Published: (2024)

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
by: Adnan, Mohammed, et al.
Published: (2025)

Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025)

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning
by: Ganaie, M. A., et al.
Published: (2023)

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
by: Quadir, A., et al.
Published: (2024)

On the Effectiveness of Random Weights in Graph Neural Networks
by: Bui, Thu, et al.
Published: (2025)

Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks
by: Kelesis, Dimitrios, et al.
Published: (2024)

Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks
by: Lee, Hyungu, et al.
Published: (2025)

Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
by: Han, Yankun
Published: (2025)

Copula Density Neural Estimation
by: Letizia, Nunzio A., et al.
Published: (2022)

Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
by: Lee, Hyunwoo, et al.
Published: (2024)

Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks
by: Bencomo, Gianluca, et al.
Published: (2025)

LDLT L-Lipschitz Network Weight Parameterization Initialization
by: Juston, Marius F. R., et al.
Published: (2026)

NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
by: Kim, Jiwoo, et al.
Published: (2026)

On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
by: Chen, Guhan, et al.
Published: (2024)

Neural Mutual Information Estimation with Vector Copulas
by: Chen, Yanzhi, et al.
Published: (2025)

Randomized based restricted kernel machine for hyperspectral image classification
by: Quadir, A., et al.
Published: (2025)

IGNIS: A Robust Neural Network Framework for Constrained Parameter Estimation in Archimedean Copulas
by: Aich, Agnideep
Published: (2025)

A Random-Matrix Criterion for Initializing Gated Recurrent Neural Networks
by: Fioratti, Tommaso, et al.
Published: (2026)

Expressivity of Neural Networks with Random Weights and Learned Biases
by: Williams, Ezekiel, et al.
Published: (2024)

Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
by: Abbasi, Wajid Arshad, et al.
Published: (2026)

GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning
by: Tanveer, M., et al.
Published: (2024)

Principal Components for Neural Network Initialization
by: Phan, Nhan, et al.
Published: (2025)

Neural Tangent Kernels and Fisher Information Matrices for Simple ReLU Networks with Random Hidden Weights
by: Takeuchi, Jun'ichi, et al.
Published: (2025)

Deep Neural Network Initialization with Sparsity Inducing Activations
by: Price, Ilan, et al.
Published: (2024)

Residual Random Neural Networks
by: Andrecut, M.
Published: (2024)