A Neural Tension Operator for Curve Subdivision across Constant Curvature Geometries
Fuente:
arXiv
Saved in:
| Main Authors: | Ugail, Hassan, Howard, Newton |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Biharmonic Subdivision on Riemannian Manifolds
by: Ugail, Hassan, et al.
Published: (2026)
by: Ugail, Hassan, et al.
Published: (2026)
Dynamical Systems Analysis Reveals Functional Regimes in Large Language Models
by: Ugail, Hassan, et al.
Published: (2026)
by: Ugail, Hassan, et al.
Published: (2026)
Quantifying the Dynamics of Consciousness using Hierarchical Integration, Organised Complexity and Metastability
by: Ugail, Hassan, et al.
Published: (2025)
by: Ugail, Hassan, et al.
Published: (2025)
Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya
by: Ugail, Hassan, et al.
Published: (2025)
by: Ugail, Hassan, et al.
Published: (2025)
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
by: Wahab, Haroon, et al.
Published: (2025)
by: Wahab, Haroon, et al.
Published: (2025)
On the Geometry of Receiver Operating Characteristic and Precision-Recall Curves
by: Sameni, Reza
Published: (2025)
by: Sameni, Reza
Published: (2025)
Geometry-Informed Neural Operator Transformer
by: Liu, Qibang, et al.
Published: (2025)
by: Liu, Qibang, et al.
Published: (2025)
Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
by: Xia, Yanming, et al.
Published: (2026)
by: Xia, Yanming, et al.
Published: (2026)
Quotient Geometry, Effective Curvature, and Implicit Bias in Simple Shallow Neural Networks
by: Dong, Hang-Cheng, et al.
Published: (2026)
by: Dong, Hang-Cheng, et al.
Published: (2026)
Physics-Informed Geometry-Aware Neural Operator
by: Zhong, Weiheng, et al.
Published: (2024)
by: Zhong, Weiheng, et al.
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)
CAT: Curvature-Adaptive Transformers for Geometry-Aware Learning
by: Lin, Ryan Y., et al.
Published: (2025)
by: Lin, Ryan Y., et al.
Published: (2025)
GFocal: A Global-Focal Neural Operator for Solving PDEs on Arbitrary Geometries
by: Fei, Fangzhi, et al.
Published: (2025)
by: Fei, Fangzhi, et al.
Published: (2025)
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
by: Grover, Karish, et al.
Published: (2025)
by: Grover, Karish, et al.
Published: (2025)
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
by: Chemseddine, Jannis, et al.
Published: (2024)
by: Chemseddine, Jannis, et al.
Published: (2024)
Quantization of Ricci Curvature in Information Geometry
by: Rodriguez, Carlos C.
Published: (2026)
by: Rodriguez, Carlos C.
Published: (2026)
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
by: Li, Zongyi, et al.
Published: (2022)
by: Li, Zongyi, et al.
Published: (2022)
Position: Curvature Matrices Should Be Democratized via Linear Operators
by: Dangel, Felix, et al.
Published: (2025)
by: Dangel, Felix, et al.
Published: (2025)
Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
by: Wen, Shizheng, et al.
Published: (2025)
by: Wen, Shizheng, et al.
Published: (2025)
Geometry matters: insights from Ollivier Ricci Curvature and Ricci Flow into representational alignment through Ollivier-Ricci Curvature and Ricci Flow
by: Torbati, Nahid, et al.
Published: (2025)
by: Torbati, Nahid, et al.
Published: (2025)
Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
by: Baheri, Ali
Published: (2025)
by: Baheri, Ali
Published: (2025)
From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining
by: Zhang, Zhizhou, et al.
Published: (2025)
by: Zhang, Zhizhou, et al.
Published: (2025)
Analyzing Neural Network Robustness Using Graph Curvature
by: Tan, Shuhang, et al.
Published: (2024)
by: Tan, Shuhang, et al.
Published: (2024)
Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning
by: Zhang, Yechen, et al.
Published: (2026)
by: Zhang, Yechen, et al.
Published: (2026)
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
by: Li, Zhihao, et al.
Published: (2024)
by: Li, Zhihao, et al.
Published: (2024)
Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry
by: Kimura, Masanari, et al.
Published: (2025)
by: Kimura, Masanari, et al.
Published: (2025)
Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
by: Cheng, Pengcheng
Published: (2026)
by: Cheng, Pengcheng
Published: (2026)
PGOT: A Physics-Geometry Operator Transformer for Complex PDEs
by: Zhang, Zhuo, et al.
Published: (2025)
by: Zhang, Zhuo, et al.
Published: (2025)
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures
by: Eschenhagen, Runa, et al.
Published: (2023)
by: Eschenhagen, Runa, et al.
Published: (2023)
Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows
by: Peyvan, Ahmad, et al.
Published: (2025)
by: Peyvan, Ahmad, et al.
Published: (2025)
Generalizing across Temporal Domains with Koopman Operators
by: Zeng, Qiuhao, et al.
Published: (2024)
by: Zeng, Qiuhao, et al.
Published: (2024)
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
by: Xue, Anton, et al.
Published: (2022)
by: Xue, Anton, et al.
Published: (2022)
Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning
by: Watts, Adam, et al.
Published: (2026)
by: Watts, Adam, et al.
Published: (2026)
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
by: Wang, Shuo, et al.
Published: (2026)
by: Wang, Shuo, et al.
Published: (2026)
CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
by: Sharma, Harshit, et al.
Published: (2024)
by: Sharma, Harshit, et al.
Published: (2024)
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy
by: Nelson, Kenric, et al.
Published: (2025)
by: Nelson, Kenric, et al.
Published: (2025)
The Curvature Rate λ: A Scalar Measure of Input-Space Sharpness in Neural Networks
by: Poschl, Jacob
Published: (2025)
by: Poschl, Jacob
Published: (2025)
Piecewise Constant Spectral Graph Neural Network
by: Martirosyan, Vahan, et al.
Published: (2025)
by: Martirosyan, Vahan, et al.
Published: (2025)
Curved Diffusion: A Generative Model With Optical Geometry Control
by: Voynov, Andrey, et al.
Published: (2023)
by: Voynov, Andrey, et al.
Published: (2023)
Learning Physical Operators using Neural Operators
by: Gopakumar, Vignesh, et al.
Published: (2026)
by: Gopakumar, Vignesh, et al.
Published: (2026)
Similar Items
-
Biharmonic Subdivision on Riemannian Manifolds
by: Ugail, Hassan, et al.
Published: (2026) -
Dynamical Systems Analysis Reveals Functional Regimes in Large Language Models
by: Ugail, Hassan, et al.
Published: (2026) -
Quantifying the Dynamics of Consciousness using Hierarchical Integration, Organised Complexity and Metastability
by: Ugail, Hassan, et al.
Published: (2025) -
Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya
by: Ugail, Hassan, et al.
Published: (2025) -
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
by: Wahab, Haroon, et al.
Published: (2025)