Cover Image

Higher-Order Group Synchronization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Duncan, Adriana L., Kileel, Joe
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition Combinatorics Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor
by: Miao, Daniel, et al.
Published: (2024)

QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition
by: Miao, Daniel, et al.
Published: (2026)

3DGS$^2$-TR: Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting
by: Hsiao, Roger, et al.
Published: (2026)

GSE: Group-wise Sparse and Explainable Adversarial Attacks
by: Sadiku, Shpresim, et al.
Published: (2023)

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
by: Wang, Lujia, et al.
Published: (2023)

Dataset Distillation as Pushforward Optimal Quantization
by: Tan, Hong Ye, et al.
Published: (2025)

Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation
by: Vu, Thanh Trung, et al.
Published: (2025)

Learning Spatially Adaptive $\ell_1$-Norms Weights for Convolutional Synthesis Regularization
by: Kofler, Andreas, et al.
Published: (2025)

Low Rank Support Quaternion Matrix Machine
by: Chen, Wang, et al.
Published: (2025)

Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
by: Shumaylov, Zakhar, et al.
Published: (2024)

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
by: Wang, Peng, et al.
Published: (2023)

Interpreting and Improving Diffusion Models from an Optimization Perspective
by: Permenter, Frank, et al.
Published: (2023)

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
by: Saadati, Nastaran, et al.
Published: (2024)

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
by: Davtyan, Aram, et al.
Published: (2021)

Constrained Diffusion Models via Dual Training
by: Khalafi, Shervin, et al.
Published: (2024)

Canonical Factors for Hybrid Neural Fields
by: Yi, Brent, et al.
Published: (2023)

Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?
by: Xu, Zhoubo, et al.
Published: (2021)

Memory-Efficient 4-bit Preconditioned Stochastic Optimization
by: Li, Jingyang, et al.
Published: (2024)

Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation
by: Tudosie, Serban Cristian, et al.
Published: (2025)

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis
by: Leeman, Antoine P., et al.
Published: (2026)

A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling
by: Sitenko, Dmitrij, et al.
Published: (2022)

LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
by: Khodabandeh, Borna, et al.
Published: (2025)

Transferable Foundation Models for Geometric Tasks on Point Cloud Representations: Geometric Neural Operators
by: Quackenbush, Blaine, et al.
Published: (2025)

EVODiff: Entropy-aware Variance Optimized Diffusion Inference
by: Li, Shigui, et al.
Published: (2025)

Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
by: Farnia, Farzan, et al.
Published: (2026)

Training-free Diffusion Model Alignment with Sampling Demons
by: Yeh, Po-Hung, et al.
Published: (2024)

EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
by: Yau, Chung-Yiu, et al.
Published: (2024)

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
by: Chidambaram, Muthu, et al.
Published: (2022)

Pattern based learning and optimisation through pricing for bin packing problem
by: Zhang, Huayan, et al.
Published: (2024)

Conjugate-Gradient-like Based Adaptive Moment Estimation Optimization Algorithm for Deep Learning
by: Tian, Jiawu, et al.
Published: (2024)

MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
by: Mozaffari, Mohammad, et al.
Published: (2023)

Fun with Flags: Robust Principal Directions via Flag Manifolds
by: Mankovich, Nathan, et al.
Published: (2024)

Extending Neural Operators: Robust Handling of Functions Beyond the Training Set
by: Quackenbush, Blaine, et al.
Published: (2026)

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
by: Simões, Miguel, et al.
Published: (2021)

Differential Evolution for Grassmann Manifold Optimization: A Projection Approach
by: Lesniewski, Andrew
Published: (2025)

VoroLight: Learning Voronoi Surface Meshes via Sphere Intersection
by: Lu, Jiayin, et al.
Published: (2025)

Manifold-Guided Lyapunov Control with Diffusion Models
by: Mukherjee, Amartya, et al.
Published: (2024)

Fast Equivariant Imaging: Acceleration for Unsupervised Learning via Augmented Lagrangian and Auxiliary PnP Denoisers
by: Xu, Guixian, et al.
Published: (2025)

Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries
by: Schulz, Joshua, et al.
Published: (2026)