Cover Image

Riemannian Multinomial Logistics Regression for SPD Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Ziheng, Song, Yue, Liu, Gaowen, Kompella, Ramana Rao, Wu, Xiaojun, Sebe, Nicu
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RMLR: Extending Multinomial Logistic Regression into General Geometries
by: Chen, Ziheng, et al.
Published: (2024)

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
by: Chen, Ziheng, et al.
Published: (2024)

Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry
by: Chen, Ziheng, et al.
Published: (2024)

Riemannian Networks over Full-Rank Correlation Matrices
by: Chen, Ziheng, et al.
Published: (2026)

Adaptive Log-Euclidean Metrics for SPD Matrix Learning
by: Chen, Ziheng, et al.
Published: (2023)

A Lie Group Approach to Riemannian Batch Normalization
by: Chen, Ziheng, et al.
Published: (2024)

Hyperbolic Busemann Neural Networks
by: Chen, Ziheng, et al.
Published: (2026)

Riemannian Batch Normalization: A Gyro Approach
by: Chen, Ziheng, et al.
Published: (2025)

Intrinsic Lorentz Neural Network
by: Shi, Xianglong, et al.
Published: (2026)

Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR
by: Fan, Chongyu, et al.
Published: (2026)

Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture
by: Duan, Shijin, et al.
Published: (2025)

Context Bootstrapped Reinforcement Learning
by: Agashe, Saaket, et al.
Published: (2026)

FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
by: Chen, Youguang, et al.
Published: (2024)

From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
by: Pan, Zhuoshi, et al.
Published: (2023)

ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction
by: Zhou, Tong, et al.
Published: (2025)

Vision Verification Enhanced Fusion of VLMs for Efficient Visual Reasoning
by: Tekin, Selim Furkan, et al.
Published: (2026)

RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
by: Song, Yue, et al.
Published: (2023)

ConQuER: Modular Architectures for Control and Bias Mitigation in IQP Quantum Generative Models
by: Zou, Xiaocheng, et al.
Published: (2025)

Sparse Mixture-of-Experts for Compositional Generalization: Empirical Evidence and Theoretical Foundations of Optimal Sparsity
by: Zhao, Jinze, et al.
Published: (2024)

Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
by: Wang, Rui, et al.
Published: (2025)

Achieving Limited Adaptivity for Multinomial Logistic Bandits
by: Midigeshi, Sukruta Prakash, et al.
Published: (2025)

Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding
by: Ilhan, Fatih, et al.
Published: (2026)

A First-order Generative Bilevel Optimization Framework for Diffusion Models
by: Xiao, Quan, et al.
Published: (2025)

Prompt Diffusion Robustifies Any-Modality Prompt Learning
by: Du, Yingjun, et al.
Published: (2024)

Improved Online Confidence Bounds for Multinomial Logistic Bandits
by: Lee, Joongkyu, et al.
Published: (2025)

Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
by: Lee, Joongkyu, et al.
Published: (2024)

Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
by: Hwang, Taehyun, et al.
Published: (2022)

Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
by: Cho, Wooseong, et al.
Published: (2024)

Rethinking Multinomial Logistic Mixture of Experts with Sigmoid Gating Function
by: Pham, Tuan Minh, et al.
Published: (2026)

Asymmetric GANs for Image-to-Image Translation
by: Tang, Hao, et al.
Published: (2019)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
by: Nguyen, Huy, et al.
Published: (2023)

Infinite-Horizon Reinforcement Learning with Multinomial Logistic Function Approximation
by: Park, Jaehyun, et al.
Published: (2024)

Discriminative Anchor Learning for Efficient Multi-view Clustering
by: Qin, Yalan, et al.
Published: (2024)

A probabilistic view on Riemannian machine learning models for SPD matrices
by: de Surrel, Thibault, et al.
Published: (2025)

Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks
by: Fang, Yong, et al.
Published: (2025)

Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
by: Peng, Yuhan, et al.
Published: (2026)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
by: Baumgart, Gustav A., et al.
Published: (2024)

Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
by: Lee, Junghyun, et al.
Published: (2023)

Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
by: Dai, Chi-Shian, et al.
Published: (2026)