Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame
Fuente:
arXiv
Guardado en:
| Autores principales: | Markou, Evan, Ajanthan, Thalaiyasingam, Gould, Stephen |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
por: Markou, Evan, et al.
Publicado: (2025)
por: Markou, Evan, et al.
Publicado: (2025)
Self-Supervision Improves Diffusion Models for Tabular Data Imputation
por: Liu, Yixin, et al.
Publicado: (2024)
por: Liu, Yixin, et al.
Publicado: (2024)
Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism
por: Ramasinghe, Sameera, et al.
Publicado: (2025)
por: Ramasinghe, Sameera, et al.
Publicado: (2025)
Nesterov Method for Asynchronous Pipeline Parallel Optimization
por: Ajanthan, Thalaiyasingam, et al.
Publicado: (2025)
por: Ajanthan, Thalaiyasingam, et al.
Publicado: (2025)
Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data
por: Duan, Yiqun, et al.
Publicado: (2025)
por: Duan, Yiqun, et al.
Publicado: (2025)
Towards Scalable Backpropagation-Free Gradient Estimation
por: Wang, Daniel, et al.
Publicado: (2025)
por: Wang, Daniel, et al.
Publicado: (2025)
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks
por: Liu, Emily
Publicado: (2024)
por: Liu, Emily
Publicado: (2024)
$k$-Homogeneous Equiangular Tight Frames
por: King, Emily J.
Publicado: (2025)
por: King, Emily J.
Publicado: (2025)
Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization
por: Morita, Takashi
Publicado: (2025)
por: Morita, Takashi
Publicado: (2025)
A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders
por: Zhang, Zegu, et al.
Publicado: (2026)
por: Zhang, Zegu, et al.
Publicado: (2026)
AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism
por: Ajanthan, Thalaiyasingam, et al.
Publicado: (2026)
por: Ajanthan, Thalaiyasingam, et al.
Publicado: (2026)
NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
por: Dolatabadi, Hadi Mohaghegh, et al.
Publicado: (2026)
por: Dolatabadi, Hadi Mohaghegh, et al.
Publicado: (2026)
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
por: Li, Depeng, et al.
Publicado: (2024)
por: Li, Depeng, et al.
Publicado: (2024)
SENTINEL: Stagewise Integrity Verification for Pipeline Parallel Decentralized Training
por: Dolatabadi, Hadi Mohaghegh, et al.
Publicado: (2026)
por: Dolatabadi, Hadi Mohaghegh, et al.
Publicado: (2026)
Nearest Neighbour with Bandit Feedback
por: Pasteris, Stephen, et al.
Publicado: (2023)
por: Pasteris, Stephen, et al.
Publicado: (2023)
On the Robustness of Neural Collapse and the Neural Collapse of Robustness
por: Su, Jingtong, et al.
Publicado: (2023)
por: Su, Jingtong, et al.
Publicado: (2023)
Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers
por: Ji, Xiaotong, et al.
Publicado: (2026)
por: Ji, Xiaotong, et al.
Publicado: (2026)
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
por: Zhang, Daokun, et al.
Publicado: (2024)
por: Zhang, Daokun, et al.
Publicado: (2024)
Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay
por: Pan, Leyan, et al.
Publicado: (2023)
por: Pan, Leyan, et al.
Publicado: (2023)
Path Integral Optimiser: Global Optimisation via Neural Schrödinger-Föllmer Diffusion
por: McGuinness, Max, et al.
Publicado: (2025)
por: McGuinness, Max, et al.
Publicado: (2025)
Mixture of Experts with Soft Nearest Neighbor Loss: Resolving Expert Collapse via Representation Disentanglement
por: Agarap, Abien Fred, et al.
Publicado: (2026)
por: Agarap, Abien Fred, et al.
Publicado: (2026)
Better Neural Network Expressivity: Subdividing the Simplex
por: Bakaev, Egor, et al.
Publicado: (2025)
por: Bakaev, Egor, et al.
Publicado: (2025)
Simplex Deep Linear Discriminant Analysis
por: Tezekbayev, Maxat, et al.
Publicado: (2026)
por: Tezekbayev, Maxat, et al.
Publicado: (2026)
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
por: Hou, Yaxin, et al.
Publicado: (2026)
por: Hou, Yaxin, et al.
Publicado: (2026)
Simplex-to-Euclidean Bijections for Categorical Flow Matching
por: Williams, Bernardo, et al.
Publicado: (2025)
por: Williams, Bernardo, et al.
Publicado: (2025)
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
por: Súkeník, Peter, et al.
Publicado: (2024)
por: Súkeník, Peter, et al.
Publicado: (2024)
Pushing Boundaries: Mixup's Influence on Neural Collapse
por: Fisher, Quinn, et al.
Publicado: (2024)
por: Fisher, Quinn, et al.
Publicado: (2024)
Rethinking Continual Learning with Progressive Neural Collapse
por: Wang, Zheng, et al.
Publicado: (2025)
por: Wang, Zheng, et al.
Publicado: (2025)
Optimizer choice matters for the emergence of Neural Collapse
por: Zhao, Jim, et al.
Publicado: (2026)
por: Zhao, Jim, et al.
Publicado: (2026)
Trojan Cleansing with Neural Collapse
por: Gu, Xihe, et al.
Publicado: (2024)
por: Gu, Xihe, et al.
Publicado: (2024)
The Prevalence of Neural Collapse in Neural Multivariate Regression
por: Andriopoulos, George, et al.
Publicado: (2024)
por: Andriopoulos, George, et al.
Publicado: (2024)
Robust Multi-Manifold Clustering via Simplex Paths
por: Chen, Haoyu, et al.
Publicado: (2025)
por: Chen, Haoyu, et al.
Publicado: (2025)
Information Theoretic Bayesian Optimization over the Probability Simplex
por: Pavesi, Federico, et al.
Publicado: (2026)
por: Pavesi, Federico, et al.
Publicado: (2026)
The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex
por: Marchetti, Francesco, et al.
Publicado: (2025)
por: Marchetti, Francesco, et al.
Publicado: (2025)
K Nearest Neighbor-Guided Trajectory Similarity Learning
por: Chang, Yanchuan, et al.
Publicado: (2025)
por: Chang, Yanchuan, et al.
Publicado: (2025)
Translation Equivariant Transformer Neural Processes
por: Ashman, Matthew, et al.
Publicado: (2024)
por: Ashman, Matthew, et al.
Publicado: (2024)
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization
por: Abdolali, Maryam, et al.
Publicado: (2024)
por: Abdolali, Maryam, et al.
Publicado: (2024)
The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
por: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Publicado: (2025)
por: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Publicado: (2025)
Neural Algorithmic Reasoning for Combinatorial Optimisation
por: Georgiev, Dobrik, et al.
Publicado: (2023)
por: Georgiev, Dobrik, et al.
Publicado: (2023)
Nearest Neighbour Equilibrium Clustering
por: Hofmeyr, David P.
Publicado: (2025)
por: Hofmeyr, David P.
Publicado: (2025)
Ejemplares similares
-
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
por: Markou, Evan, et al.
Publicado: (2025) -
Self-Supervision Improves Diffusion Models for Tabular Data Imputation
por: Liu, Yixin, et al.
Publicado: (2024) -
Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism
por: Ramasinghe, Sameera, et al.
Publicado: (2025) -
Nesterov Method for Asynchronous Pipeline Parallel Optimization
por: Ajanthan, Thalaiyasingam, et al.
Publicado: (2025) -
Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data
por: Duan, Yiqun, et al.
Publicado: (2025)