CAMEL: Curvature-Augmented Manifold Embedding and Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Nan, Liu, Yongming |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Curvature Augmented Manifold Embedding and Learning
by: Liu, Yongming
Published: (2024)
by: Liu, Yongming
Published: (2024)
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
by: Grattarola, Daniele, et al.
Published: (2018)
by: Grattarola, Daniele, et al.
Published: (2018)
CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning
by: Zhao, Yanxiao, et al.
Published: (2025)
by: Zhao, Yanxiao, et al.
Published: (2025)
CAMEL: An ECG Language Model for Forecasting Cardiac Events
by: Velingker, Neelay, et al.
Published: (2026)
by: Velingker, Neelay, et al.
Published: (2026)
Augmentation Invariant Manifold Learning
by: Wang, Shulei
Published: (2022)
by: Wang, Shulei
Published: (2022)
Learning Beyond Euclid: Curvature-Adaptive Generalization for Neural Networks on Manifolds
by: Sarkar, Krisanu
Published: (2025)
by: Sarkar, Krisanu
Published: (2025)
First-Order Manifold Data Augmentation for Regression Learning
by: Kaufman, Ilya, et al.
Published: (2024)
by: Kaufman, Ilya, et al.
Published: (2024)
Curvature Enhanced Data Augmentation for Regression
by: Sirot, Ilya Kaufman, et al.
Published: (2025)
by: Sirot, Ilya Kaufman, et al.
Published: (2025)
Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity
by: Zhang, Zixuan, et al.
Published: (2026)
by: Zhang, Zixuan, et al.
Published: (2026)
Geometric Embedding Alignment via Curvature Matching in Transfer Learning
by: Ko, Sung Moon, et al.
Published: (2025)
by: Ko, Sung Moon, et al.
Published: (2025)
Discretized Gradient Flow for Manifold Learning in the Space of Embeddings
by: Gold, Dara, et al.
Published: (2019)
by: Gold, Dara, et al.
Published: (2019)
EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings
by: Saidi, Tristan Luca, et al.
Published: (2025)
by: Saidi, Tristan Luca, et al.
Published: (2025)
Augment on Manifold: Mixup Regularization with UMAP
by: El-Laham, Yousef, et al.
Published: (2023)
by: El-Laham, Yousef, et al.
Published: (2023)
Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning
by: Jyothish, Ankit, et al.
Published: (2025)
by: Jyothish, Ankit, et al.
Published: (2025)
Recovering Manifold Structure Using Ollivier-Ricci Curvature
by: Saidi, Tristan Luca, et al.
Published: (2024)
by: Saidi, Tristan Luca, et al.
Published: (2024)
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
by: Deutsch, Shay, et al.
Published: (2024)
by: Deutsch, Shay, et al.
Published: (2024)
Local-Curvature-Aware Knowledge Graph Embedding: An Extended Ricci Flow Approach
by: Luo, Zhengquan, et al.
Published: (2025)
by: Luo, Zhengquan, et al.
Published: (2025)
Curvature Corrected Nonnegative Manifold Data Factorization
by: Chew, Joyce, et al.
Published: (2025)
by: Chew, Joyce, et al.
Published: (2025)
CAMEL-CLIP: Channel-aware Multimodal Electroencephalography-text Alignment for Generalizable Brain Foundation Models
by: Choi, Hanseul, et al.
Published: (2026)
by: Choi, Hanseul, et al.
Published: (2026)
CA-PCA: Manifold Dimension Estimation, Adapted for Curvature
by: Gilbert, Anna C., et al.
Published: (2023)
by: Gilbert, Anna C., et al.
Published: (2023)
A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction
by: Vastola, John J., et al.
Published: (2025)
by: Vastola, John J., et al.
Published: (2025)
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
by: Hu, Bozhen, et al.
Published: (2024)
by: Hu, Bozhen, et al.
Published: (2024)
A Unified Geometric Field Theory Framework for Transformers: From Manifold Embeddings to Kernel Modulation
by: Shi, Xianshuai, et al.
Published: (2025)
by: Shi, Xianshuai, et al.
Published: (2025)
Unraveling the Localized Latents: Learning Stratified Manifold Structures in LLM Embedding Space with Sparse Mixture-of-Experts
by: Li, Xin, et al.
Published: (2025)
by: Li, Xin, et al.
Published: (2025)
Online Optimization on Hadamard Manifolds: Curvature Independent Regret Bounds on Horospherically Convex Objectives
by: Sahinoglu, Emre, et al.
Published: (2025)
by: Sahinoglu, Emre, et al.
Published: (2025)
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
by: Li, Jeng-Lin, et al.
Published: (2024)
by: Li, Jeng-Lin, et al.
Published: (2024)
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
by: Ghaboura, Sara, et al.
Published: (2024)
by: Ghaboura, Sara, et al.
Published: (2024)
Manifold Decoders: A Framework for Generative Modeling from Nonlinear Embeddings
by: Thakare, Riddhish, et al.
Published: (2025)
by: Thakare, Riddhish, et al.
Published: (2025)
Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
by: Baheri, Ali
Published: (2025)
by: Baheri, Ali
Published: (2025)
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
by: Chen, Yili, et al.
Published: (2023)
by: Chen, Yili, et al.
Published: (2023)
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature
by: Fesser, Lukas, et al.
Published: (2023)
by: Fesser, Lukas, et al.
Published: (2023)
RIE-SenseNet: Riemannian Manifold Embedding of Multi-Source Industrial Sensor Signals for Robust Pattern Recognition
by: Wang, Xu, et al.
Published: (2025)
by: Wang, Xu, et al.
Published: (2025)
MOE-Enhanced Explanable Deep Manifold Transformation for Complex Data Embedding and Visualization
by: Zang, Zelin, et al.
Published: (2024)
by: Zang, Zelin, et al.
Published: (2024)
Factor Augmented Supervised Learning with Text Embeddings
by: Luo, Zhanye, et al.
Published: (2025)
by: Luo, Zhanye, et al.
Published: (2025)
Generative Learning of Densities on Manifolds
by: Giovanis, Dimitris G., et al.
Published: (2025)
by: Giovanis, Dimitris G., et al.
Published: (2025)
Enhanced High-Dimensional Data Visualization through Adaptive Multi-Scale Manifold Embedding
by: Ni, Tianhao, et al.
Published: (2025)
by: Ni, Tianhao, et al.
Published: (2025)
Manifold learning in metric spaces
by: Xu, Liane, et al.
Published: (2025)
by: Xu, Liane, et al.
Published: (2025)
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization
by: Chen, Haoran, et al.
Published: (2025)
by: Chen, Haoran, et al.
Published: (2025)
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
by: Ravikumar, Deepak, et al.
Published: (2024)
by: Ravikumar, Deepak, et al.
Published: (2024)
Manifold-Aware Diffusion-Augmented Contrastive Learning for Noise-Robust Biosignal Representation
by: Zewail, Rami
Published: (2025)
by: Zewail, Rami
Published: (2025)
Similar Items
-
Curvature Augmented Manifold Embedding and Learning
by: Liu, Yongming
Published: (2024) -
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
by: Grattarola, Daniele, et al.
Published: (2018) -
CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning
by: Zhao, Yanxiao, et al.
Published: (2025) -
CAMEL: An ECG Language Model for Forecasting Cardiac Events
by: Velingker, Neelay, et al.
Published: (2026) -
Augmentation Invariant Manifold Learning
by: Wang, Shulei
Published: (2022)