Saved in:
| Main Authors: | Satou, Hana, Mitkiy, Alan, Collins, Emma, Kingston, Finn |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.15191 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer
by: Collins, Emma, et al.
Published: (2025)
by: Collins, Emma, et al.
Published: (2025)
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
by: Satou, Hana, et al.
Published: (2025)
by: Satou, Hana, et al.
Published: (2025)
Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications
by: Satou, Hana, et al.
Published: (2024)
by: Satou, Hana, et al.
Published: (2024)
GAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation
by: Satou, Hana, et al.
Published: (2025)
by: Satou, Hana, et al.
Published: (2025)
Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training
by: Mitkiy, Alan, et al.
Published: (2025)
by: Mitkiy, Alan, et al.
Published: (2025)
GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
MAGMA: Manifold Regularization for MAEs
by: Dondera, Alin, et al.
Published: (2024)
by: Dondera, Alin, et al.
Published: (2024)
Learning to Fuse: Modality-Aware Adaptive Scheduling for Robust Multimodal Foundation Models
by: Bennett, Liam, et al.
Published: (2025)
by: Bennett, Liam, et al.
Published: (2025)
Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency
by: Tanaka, Hiroshi, et al.
Published: (2025)
by: Tanaka, Hiroshi, et al.
Published: (2025)
TRANSPORTER: Transferring Visual Semantics from VLM Manifolds
by: Stergiou, Alexandros
Published: (2025)
by: Stergiou, Alexandros
Published: (2025)
Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation
by: Xu, Xinyu, et al.
Published: (2024)
by: Xu, Xinyu, et al.
Published: (2024)
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
by: Zhou, Kanglei, et al.
Published: (2024)
by: Zhou, Kanglei, et al.
Published: (2024)
Learning Artistic Signatures: Symmetry Discovery and Style Transfer
by: Finn, Emma, et al.
Published: (2024)
by: Finn, Emma, et al.
Published: (2024)
Learning Eigenstructures of Unstructured Data Manifolds
by: Velich, Roy, et al.
Published: (2025)
by: Velich, Roy, et al.
Published: (2025)
Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
by: Zhou, Kanglei, et al.
Published: (2025)
by: Zhou, Kanglei, et al.
Published: (2025)
Compressing Vision Transformers in Geospatial Transfer Learning with Manifold-Constrained Optimization
by: Snyder, Thomas, et al.
Published: (2026)
by: Snyder, Thomas, et al.
Published: (2026)
Manifold Constraint Regularization for Remote Sensing Image Generation
by: Su, Xingzhe, et al.
Published: (2023)
by: Su, Xingzhe, et al.
Published: (2023)
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds
by: Dang, Ziqiang, et al.
Published: (2024)
by: Dang, Ziqiang, et al.
Published: (2024)
Generating Topologically and Geometrically Diverse Manifold Data in Dimensions Four and Below
by: Hannouch, Khalil Mathieu, et al.
Published: (2024)
by: Hannouch, Khalil Mathieu, et al.
Published: (2024)
Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness
by: Alonso, Pedro, et al.
Published: (2026)
by: Alonso, Pedro, et al.
Published: (2026)
Score Distillation Sampling with Learned Manifold Corrective
by: Alldieck, Thiemo, et al.
Published: (2024)
by: Alldieck, Thiemo, et al.
Published: (2024)
Manifold Learning for Hyperspectral Images
by: Harkat, Fethi, et al.
Published: (2025)
by: Harkat, Fethi, et al.
Published: (2025)
ICM-SR: Image-Conditioned Manifold Regularization for Image Super-Resolution
by: Kang, Junoh, et al.
Published: (2025)
by: Kang, Junoh, et al.
Published: (2025)
NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support
by: Wei, Xinyue, et al.
Published: (2023)
by: Wei, Xinyue, et al.
Published: (2023)
A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models
by: Bar, Leah, et al.
Published: (2025)
by: Bar, Leah, et al.
Published: (2025)
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
by: Srinivas, Suraj, et al.
Published: (2023)
by: Srinivas, Suraj, et al.
Published: (2023)
Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization
by: Ren, Bin, et al.
Published: (2025)
by: Ren, Bin, et al.
Published: (2025)
Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
by: Li, Shuai, et al.
Published: (2024)
by: Li, Shuai, et al.
Published: (2024)
Anatomy Aware Cascade Network: Bridging Epistemic Uncertainty and Geometric Manifold for 3D Tooth Segmentation
by: Yu, Bing, et al.
Published: (2026)
by: Yu, Bing, et al.
Published: (2026)
Contrastive Local Manifold Learning for No-Reference Image Quality Assessment
by: Huang, Zihao, et al.
Published: (2024)
by: Huang, Zihao, et al.
Published: (2024)
Scalable Group Choreography via Variational Phase Manifold Learning
by: Le, Nhat, et al.
Published: (2024)
by: Le, Nhat, et al.
Published: (2024)
Prompt Tuning for CLIP on the Pretrained Manifold
by: Yang, Xi, et al.
Published: (2026)
by: Yang, Xi, et al.
Published: (2026)
Applications of No-Collision Transportation Maps in Manifold Learning
by: Negrini, Elisa, et al.
Published: (2023)
by: Negrini, Elisa, et al.
Published: (2023)
High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification
by: Yang, Boxiang, et al.
Published: (2026)
by: Yang, Boxiang, et al.
Published: (2026)
ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
by: Roy, Ayush, et al.
Published: (2026)
by: Roy, Ayush, et al.
Published: (2026)
Flows and Diffusions on the Neural Manifold
by: Saragih, Daniel, et al.
Published: (2025)
by: Saragih, Daniel, et al.
Published: (2025)
Deep Active Learning with Manifold-preserving Trajectory Sampling
by: Ji, Yingrui, et al.
Published: (2024)
by: Ji, Yingrui, et al.
Published: (2024)
Harnessing Data Asymmetry: Manifold Learning in the Finsler World
by: Dagès, Thomas, et al.
Published: (2026)
by: Dagès, Thomas, et al.
Published: (2026)
Manifold-Aware Exploration for Reinforcement Learning in Video Generation
by: Zheng, Mingzhe, et al.
Published: (2026)
by: Zheng, Mingzhe, et al.
Published: (2026)
Similar Items
-
Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer
by: Collins, Emma, et al.
Published: (2025) -
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
by: Satou, Hana, et al.
Published: (2025) -
Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications
by: Satou, Hana, et al.
Published: (2024) -
GAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation
by: Satou, Hana, et al.
Published: (2025) -
Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training
by: Mitkiy, Alan, et al.
Published: (2025)