:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bai, Site, Ke, Chuyang, Honorio, Jean
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2205.14056
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convexified Message-Passing Graph Neural Networks
by: Cohen, Saar, et al.
Published: (2025)

Federated Composite Saddle Point Optimization
by: Bai, Site, et al.
Published: (2023)

Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity
by: Bai, Cedar Site, et al.
Published: (2024)

Faster Acceleration for Steepest Descent
by: Bai, Cedar Site, et al.
Published: (2024)

DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
by: Pal, Shraman, et al.
Published: (2026)

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
by: Zhong, Wenliang, et al.
Published: (2024)

Proactive Depot Discovery: A Generative Framework for Flexible Location-Routing
by: Qu, Site, et al.
Published: (2025)

A Novel Plug-and-Play Approach for Adversarially Robust Generalization
by: Maurya, Deepak, et al.
Published: (2022)

Resource-Efficient Gesture Recognition through Convexified Attention
by: Schwartz, Daniel, et al.
Published: (2026)

Model Immunization from a Condition Number Perspective
by: Zheng, Amber Yijia, et al.
Published: (2025)

Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)

Can Entry-Wise Clipping Give Spectral Control of Stochastic Gradients?
by: Song, Zitao, et al.
Published: (2026)

Powerset Convolutional Neural Networks
by: Wendler, Chris, et al.
Published: (2019)

GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction
by: Jiang, Su, et al.
Published: (2024)

Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization
by: Luo, Xinyu, et al.
Published: (2025)

Multiscale Training of Convolutional Neural Networks
by: Ahamed, Shadab, et al.
Published: (2025)

Advection Augmented Convolutional Neural Networks
by: Zakariaei, Niloufar, et al.
Published: (2024)

Variational Graph Convolutional Neural Networks
by: Oleksiienko, Illia, et al.
Published: (2025)

Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective
by: Li, Tenghui, et al.
Published: (2021)

A Novel Convolutional Neural Network Architecture with a Continuous Symmetry
by: Liu, Yao, et al.
Published: (2023)

In-flight Novelty Detection with Convolutional Neural Networks
by: Hartwell, Adam, et al.
Published: (2021)

Binarized Simplicial Convolutional Neural Networks
by: Yan, Yi, et al.
Published: (2024)

Clifford-Steerable Convolutional Neural Networks
by: Zhdanov, Maksim, et al.
Published: (2024)

On the Efficiency of Convolutional Neural Networks
by: Lavin, Andrew
Published: (2024)

Flexible Infinite-Width Graph Convolutional Neural Networks
by: Anson, Ben, et al.
Published: (2024)

Convolutional Neural Networks for Toxic Comment Classification
by: Georgakopoulos, Spiros V., et al.
Published: (2018)

Transfer Entropy in Graph Convolutional Neural Networks
by: Moldovan, Adrian, et al.
Published: (2024)

Regularizing Explanations in Bayesian Convolutional Neural Networks
by: Bekkemoen, Yanzhe, et al.
Published: (2021)

The Geometry of Polynomial Group Convolutional Neural Networks
by: Hendi, Yacoub, et al.
Published: (2026)

Discretizing Group-Convolutional Neural Networks for 3D Geometry in Feature Space
by: Franzen, Daniel, et al.
Published: (2026)

Baseflow identification via explainable AI with Kolmogorov-Arnold networks
by: Liu, Chuyang, et al.
Published: (2024)

Network Inversion of Convolutional Neural Nets
by: Suhail, Pirzada, et al.
Published: (2024)

Parseval Convolution Operators and Neural Networks
by: Unser, Michael, et al.
Published: (2024)

Optimizing Convolutional Neural Network Architecture
by: Balderas, Luis, et al.
Published: (2023)

Causal Convolutional Neural Networks as Finite Impulse Response Filters
by: Bacsa, Kiran, et al.
Published: (2025)

High-Order Tensor Regression in Sparse Convolutional Neural Networks
by: Algarte, Roberto Dias
Published: (2025)

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
by: He, Mingguo, et al.
Published: (2022)

Multi-Target Tracking with Transferable Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2022)

Affine Invariance in Continuous-Domain Convolutional Neural Networks
by: Mohaddes, Ali, et al.
Published: (2023)

Quantum Convolutional Neural Networks are Effectively Classically Simulable
by: Bermejo, Pablo, et al.
Published: (2024)