:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Ren, Zhou, Pengcheng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2505.04412
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning
by: Zhuang, Ren, et al.
Published: (2026)

Relative Representations: Topological and Geometric Perspectives
by: García-Castellanos, Alejandro, et al.
Published: (2024)

Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion
by: Xia, Zixuan, et al.
Published: (2026)

Geometric Properties of the Voronoi Tessellation in Latent Semantic Manifolds of Large Language Models
by: Brett, Marshall
Published: (2026)

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

Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
by: Wang, Jianyu, et al.
Published: (2024)

The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models
by: Cho, Seonglae, et al.
Published: (2026)

Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
by: Rathore, Vidhi
Published: (2026)

MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
by: Ren, Dayong
Published: (2026)

Geometric Manifold Rectification for Imbalanced Learning
by: Wang, Xubin, et al.
Published: (2026)

Augment on Manifold: Mixup Regularization with UMAP
by: El-Laham, Yousef, et al.
Published: (2023)

Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction
by: Xu, Wei, et al.
Published: (2024)

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses
by: Zheng, Zemin, et al.
Published: (2025)

The Geometric Price of Discrete Logic: Context-driven Manifold Dynamics of Number Representations
by: Zhang, Long, et al.
Published: (2026)

On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds
by: Augenstein, Luis, et al.
Published: (2024)

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
by: Jiang, Jiawei, et al.
Published: (2022)

SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
by: Wang, Shuang, et al.
Published: (2025)

Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
by: Liu, Yunqing, et al.
Published: (2026)

Universal Latent Homeomorphic Manifolds: A Framework for Cross-Domain Representation Unification
by: Wu, Tong, et al.
Published: (2026)

ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
by: Fu, Yihang, et al.
Published: (2025)

Guided Manifold Alignment with Geometry-Regularized Twin Autoencoders
by: Rhodes, Jake S., et al.
Published: (2025)

IIKL: Isometric Immersion Kernel Learning with Riemannian Manifold for Geometric Preservation
by: Chen, Zihao, et al.
Published: (2025)

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
by: Liu, Guangyi, et al.
Published: (2024)

Maximum Manifold Capacity Representations in State Representation Learning
by: Meng, Li, et al.
Published: (2024)

Robust Backdoor Removal by Reconstructing Trigger-Activated Changes in Latent Representation
by: Iwahana, Kazuki, et al.
Published: (2025)

Latent Spectral Regularization for Continual Learning
by: Frascaroli, Emanuele, et al.
Published: (2023)

Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds
by: Zhang, Shuhai, et al.
Published: (2024)

Latent Semantic Manifolds in Large Language Models
by: Mabrok, Mohamed A.
Published: (2026)

Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds
by: Xu, Shaojun, et al.
Published: (2026)

Manifold Regularization Classification Model Based On Improved Diffusion Map
by: Guo, Hongfu, et al.
Published: (2024)

Manifold Topological Deep Learning for Biomedical Data
by: Liu, Xiang, et al.
Published: (2025)

Exploring Representation-Aligned Latent Space for Better Generation
by: Xu, Wanghan, et al.
Published: (2025)

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
by: Pelleriti, Nico, et al.
Published: (2025)

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs
by: Liang, Zhangyong
Published: (2026)

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
by: Mostowsky, Peter, et al.
Published: (2024)

Enhancing Evolving Domain Generalization through Dynamic Latent Representations
by: Xie, Binghui, et al.
Published: (2024)

Geometric Representation Condition Improves Equivariant Molecule Generation
by: Li, Zian, et al.
Published: (2024)

Reconstruction of Manifold Distances from Noisy Observations
by: Fefferman, Charles, et al.
Published: (2025)

Distance-Preserving Representations for Genomic Spatial Reconstruction
by: Zhou, Wenbin, et al.
Published: (2024)

Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
by: Hoang, Christopher, et al.
Published: (2025)