Cover Image

Geometric Analysis of Unconstrained Feature Models with $d=K$

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Yi, Gu, Shao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
by: Ma, Chuang, et al.
Published: (2025)

Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
by: Behnia, Tina, et al.
Published: (2024)

Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
by: Andriopoulos, George, et al.
Published: (2025)

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model
by: Dang, Hien, et al.
Published: (2024)

Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime
by: Wu, Diyuan, et al.
Published: (2025)

Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
by: Hong, Wanli, et al.
Published: (2024)

Why Loss Re-weighting Works If You Stop Early: Training Dynamics of Unconstrained Features
by: Zhao, Yize, et al.
Published: (2026)

Learning World Models for Unconstrained Goal Navigation
by: Duan, Yuanlin, et al.
Published: (2024)

Fully Unconstrained Online Learning
by: Cutkosky, Ashok, et al.
Published: (2024)

A Perturbation Approach to Unconstrained Linear Bandits
by: Jacobsen, Andrew, et al.
Published: (2026)

Feature-Function Curvature Analysis: A Geometric Framework for Explaining Differentiable Models
by: Najafi, Hamed, et al.
Published: (2025)

Parameter-Free Dynamic Regret for Unconstrained Linear Bandits
by: Rumi, Alberto, et al.
Published: (2026)

Gradient-Variation Regret Bounds for Unconstrained Online Learning
by: Zhao, Yuheng, et al.
Published: (2026)

Unconstrained Robust Online Convex Optimization
by: Zhang, Jiujia, et al.
Published: (2025)

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
by: Sharma, Aasish Kumar, et al.
Published: (2025)

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems
by: Roux, Quentin Le, et al.
Published: (2025)

Invariant Features in Language Models: Geometric Characterization and Model Attribution
by: Dasgupta, Agnibh, et al.
Published: (2026)

Neural Port-Hamiltonian Models for Nonlinear Distributed Control: An Unconstrained Parametrization Approach
by: Zakwan, Muhammad, et al.
Published: (2024)

The Propagation Field: A Geometric Substrate Theory of Deep Learning
by: Gu, Xingrui
Published: (2026)

Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks
by: Wei, Yi, et al.
Published: (2026)

Scalable Variational Causal Discovery Unconstrained by Acyclicity
by: Hoang, Nu, et al.
Published: (2024)

Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space
by: Gu, Yufei, et al.
Published: (2023)

Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
by: Chapman, James, et al.
Published: (2023)

A Global Geometric Analysis of Maximal Coding Rate Reduction
by: Wang, Peng, et al.
Published: (2024)

Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit
by: Zhou, Julien, et al.
Published: (2024)

Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data
by: Norman, Grant, et al.
Published: (2024)

CONCUR: A Framework for Continual Constrained and Unconstrained Routing
by: Chen, Peter Baile, et al.
Published: (2025)

Multi-Scale Geometric Autoencoder
by: Zhan, Qipeng, et al.
Published: (2025)

VeFA: Vector-Based Feature Space Adaptation for Robust Model Fine-Tuning
by: Wang, Peng, et al.
Published: (2025)

Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling
by: Chen, Yu-hsuan, et al.
Published: (2025)

RanSOM: Second-Order Momentum with Randomized Scaling for Constrained and Unconstrained Optimization
by: Chayti, El Mahdi
Published: (2026)

Feature Qualification by Deep Nets: A Constructive Approach
by: Cao, Feilong, et al.
Published: (2025)

Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
by: Yun, Vincent-Daniel, et al.
Published: (2026)

FUnc-SNE: A flexible, Fast, and Unconstrained algorithm for neighbour embeddings
by: Lambert, Pierre, et al.
Published: (2025)

Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
by: Murtaza, Shakeeb, et al.
Published: (2024)

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
by: Roy, Shuvendu, et al.
Published: (2023)

Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
by: Gu, Hanlin, et al.
Published: (2024)

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
by: Zhao, Wanjia, et al.
Published: (2025)

HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search
by: Choo, Hyunjin, et al.
Published: (2025)

Feature Starvation as Geometric Instability in Sparse Autoencoders
by: Chaudhry, Faris, et al.
Published: (2026)