Cover Image

Linear Mode Connectivity in Sparse Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	McDermott, Luke, Cummings, Daniel
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks
by: Luo, Róisín, et al.
Published: (2025)

Text Conditioned Symbolic Drumbeat Generation using Latent Diffusion Models
by: Jajoria, Pushkar, et al.
Published: (2024)

Unveiling Mode Connectivity in Graph Neural Networks
by: Li, Bingheng, et al.
Published: (2025)

LoLA: Low-Rank Linear Attention With Sparse Caching
by: McDermott, Luke, et al.
Published: (2025)

Embedding Compression for Efficient Re-Identification
by: McDermott, Luke
Published: (2024)

ACES: Automatic Cohort Extraction System for Event-Stream Datasets
by: Xu, Justin, et al.
Published: (2024)

Finding Stable Subnetworks at Initialization with Dataset Distillation
by: McDermott, Luke, et al.
Published: (2025)

Sparse Decomposition of Graph Neural Networks
by: Hu, Yaochen, et al.
Published: (2024)

Entropic Confinement and Mode Connectivity in Overparameterized Neural Networks
by: Di Carlo, Luca, et al.
Published: (2025)

Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation
by: Rüb, Marcus, et al.
Published: (2024)

Unveiling the Power of Sparse Neural Networks for Feature Selection
by: Atashgahi, Zahra, et al.
Published: (2024)

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
by: Fracastoro, Giulia, et al.
Published: (2025)

Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
by: Dorszewski, Teresa, et al.
Published: (2024)

Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
by: He, Shuqi, et al.
Published: (2024)

mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
by: Mishra, Subhankar
Published: (2026)

Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
by: Cunegatti, Elia, et al.
Published: (2023)

Superposition as Lossy Compression: Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability
by: Bereska, Leonard, et al.
Published: (2025)

Diagnosis of Fuel Cell Health Status with Deep Sparse Auto-Encoder Neural Network
by: Fei, Chenyan, et al.
Published: (2025)

Displacement-Sparse Neural Optimal Transport
by: Chen, Peter, et al.
Published: (2025)

A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
by: Ganju, Atul, et al.
Published: (2026)

Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies
by: Yang, Yuan-Chih, et al.
Published: (2025)

NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks
by: Reneau, Alex, et al.
Published: (2025)

Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification
by: Marzari, Luca, et al.
Published: (2025)

ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation
by: Zhong, Lujia, et al.
Published: (2024)

Subjectivity in Unsupervised Machine Learning Model Selection
by: Chen, Wanyi, et al.
Published: (2023)

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

Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More
by: Lim, Jinwoo, et al.
Published: (2026)

Mode-Aware Non-Linear Tucker Autoencoder for Tensor-based Unsupervised Learning
by: Zheng, Junjing, et al.
Published: (2025)

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
by: Gupta, Mohit, et al.
Published: (2025)

Diversity-Aware Adaptive Collocation for Physics-Informed Neural Networks via Sparse QUBO Optimization and Hybrid Coresets
by: Salloum, Hadi, et al.
Published: (2026)

A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks
by: Nakahara, Yuta, et al.
Published: (2025)

ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural Networks
by: Chaudhry, Zan, et al.
Published: (2024)

Unified Sparse-Matrix Representations for Diverse Neural Architectures
by: Zhu, Yuzhou
Published: (2025)

Optimizer-Induced Mode Connectivity: From AdamW to Muon
by: Zhang, Fangzhao, et al.
Published: (2026)

The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks
by: Cha, Taehun, et al.
Published: (2026)

Spatio-Spectral Graph Neural Networks
by: Geisler, Simon, et al.
Published: (2024)

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
by: Renc, Pawel, et al.
Published: (2025)

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
by: Maheri, Mohammad M, et al.
Published: (2025)

BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
by: Gupta, Mohit, et al.
Published: (2025)

Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
by: Wang, Runzhong, et al.
Published: (2024)