Function Spaces Without Kernels: Learning Compact Hilbert Space Representations
Fuente:
arXiv
Guardado en:
| Autores principales: | Low, Su Ann, Rommel, Quentin, Miller, Kevin S., Thorpe, Adam J., Topcu, Ufuk |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
por: Ingebrand, Tyler, et al.
Publicado: (2025)
por: Ingebrand, Tyler, et al.
Publicado: (2025)
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
por: Miller, Kevin S., et al.
Publicado: (2024)
por: Miller, Kevin S., et al.
Publicado: (2024)
Basis-to-Basis Operator Learning Using Function Encoders
por: Ingebrand, Tyler, et al.
Publicado: (2024)
por: Ingebrand, Tyler, et al.
Publicado: (2024)
Learning Generalizable Neural Operators for Inverse Problems
por: Thorpe, Adam J., et al.
Publicado: (2025)
por: Thorpe, Adam J., et al.
Publicado: (2025)
Adversarial Pursuits in Cislunar Space
por: Fotiadis, Filippos, et al.
Publicado: (2025)
por: Fotiadis, Filippos, et al.
Publicado: (2025)
Zero-Shot Function Encoder-Based Differentiable Predictive Control
por: Iqbal, Hassan, et al.
Publicado: (2025)
por: Iqbal, Hassan, et al.
Publicado: (2025)
Zero-Shot Reinforcement Learning via Function Encoders
por: Ingebrand, Tyler, et al.
Publicado: (2024)
por: Ingebrand, Tyler, et al.
Publicado: (2024)
Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem
por: Feito-Casares, Enrique, et al.
Publicado: (2026)
por: Feito-Casares, Enrique, et al.
Publicado: (2026)
Learning of Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces
por: Smith, Torbjørn, et al.
Publicado: (2023)
por: Smith, Torbjørn, et al.
Publicado: (2023)
Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert Spaces
por: Iske, Armin, et al.
Publicado: (2025)
por: Iske, Armin, et al.
Publicado: (2025)
Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space
por: Sepanj, M. Hadi, et al.
Publicado: (2025)
por: Sepanj, M. Hadi, et al.
Publicado: (2025)
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces
por: Iske, Armin
Publicado: (2025)
por: Iske, Armin
Publicado: (2025)
Policy Newton Algorithm in Reproducing Kernel Hilbert Space
por: Zhang, Yixian, et al.
Publicado: (2025)
por: Zhang, Yixian, et al.
Publicado: (2025)
Quantum Policy Gradient in Reproducing Kernel Hilbert Space
por: Bossens, David M., et al.
Publicado: (2024)
por: Bossens, David M., et al.
Publicado: (2024)
Learning Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces and Random Features
por: Smith, Torbjørn, et al.
Publicado: (2024)
por: Smith, Torbjørn, et al.
Publicado: (2024)
Verifiable Mission Planning For Space Operations
por: Rommel, Quentin, et al.
Publicado: (2025)
por: Rommel, Quentin, et al.
Publicado: (2025)
On Quasi-Localized Dual Pairs in Reproducing Kernel Hilbert Spaces
por: Harbrecht, Helmut, et al.
Publicado: (2024)
por: Harbrecht, Helmut, et al.
Publicado: (2024)
On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning
por: Memarian, Farzan, et al.
Publicado: (2021)
por: Memarian, Farzan, et al.
Publicado: (2021)
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
por: Neary, Cyrus, et al.
Publicado: (2024)
por: Neary, Cyrus, et al.
Publicado: (2024)
Online Regularized Statistical Learning in Reproducing Kernel Hilbert Space With Non-Stationary Data
por: Zhang, Xiwei, et al.
Publicado: (2024)
por: Zhang, Xiwei, et al.
Publicado: (2024)
Laplace Learning in Wasserstein Space
por: Oliver, Mary Chriselda Antony, et al.
Publicado: (2025)
por: Oliver, Mary Chriselda Antony, et al.
Publicado: (2025)
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces
por: Wang, Rui, et al.
Publicado: (2023)
por: Wang, Rui, et al.
Publicado: (2023)
Discovering Causal Structure with Reproducing-Kernel Hilbert Space $ε$-Machines
por: Brodu, Nicolas, et al.
Publicado: (2020)
por: Brodu, Nicolas, et al.
Publicado: (2020)
Distributional Random Forests for Complex Survey Designs on Reproducing Kernel Hilbert Spaces
por: Zou, Yating, et al.
Publicado: (2025)
por: Zou, Yating, et al.
Publicado: (2025)
ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces
por: Rielly, Victor, et al.
Publicado: (2025)
por: Rielly, Victor, et al.
Publicado: (2025)
A Universal Reproducing Kernel Hilbert Space from Polynomial Alignment and IMQ Distance
por: Bouhsine, Taha
Publicado: (2026)
por: Bouhsine, Taha
Publicado: (2026)
Functional Mean Flow in Hilbert Space
por: Li, Zhiqi, et al.
Publicado: (2025)
por: Li, Zhiqi, et al.
Publicado: (2025)
Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts
por: Kwon, Minjae, et al.
Publicado: (2025)
por: Kwon, Minjae, et al.
Publicado: (2025)
Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors
por: Shah, Dhruv, et al.
Publicado: (2026)
por: Shah, Dhruv, et al.
Publicado: (2026)
Flow Straight and Fast in Hilbert Space: Functional Rectified Flow
por: Zhang, Jianxin, et al.
Publicado: (2025)
por: Zhang, Jianxin, et al.
Publicado: (2025)
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
por: Boshoff, Septimus, et al.
Publicado: (2025)
por: Boshoff, Septimus, et al.
Publicado: (2025)
Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
por: Hoischen, Nicolas, et al.
Publicado: (2024)
por: Hoischen, Nicolas, et al.
Publicado: (2024)
Diagonal Over-parameterization in Reproducing Kernel Hilbert Spaces as an Adaptive Feature Model: Generalization and Adaptivity
por: Li, Yicheng, et al.
Publicado: (2025)
por: Li, Yicheng, et al.
Publicado: (2025)
Learning in Compact Spaces with Approximately Normalized Transformer
por: Franke, Jörg K. H., et al.
Publicado: (2025)
por: Franke, Jörg K. H., et al.
Publicado: (2025)
Stochastic Interpolants in Hilbert Spaces
por: Yu, James Boran, et al.
Publicado: (2026)
por: Yu, James Boran, et al.
Publicado: (2026)
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
por: Chatalic, Antoine, et al.
Publicado: (2023)
por: Chatalic, Antoine, et al.
Publicado: (2023)
Beyond State Space Representation: A General Theory for Kernel Packets
por: Ding, Liang, et al.
Publicado: (2024)
por: Ding, Liang, et al.
Publicado: (2024)
Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework
por: Murthy, Surya, et al.
Publicado: (2025)
por: Murthy, Surya, et al.
Publicado: (2025)
A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management
por: Murthy, Surya, et al.
Publicado: (2025)
por: Murthy, Surya, et al.
Publicado: (2025)
Zero-Shot Transfer of Neural ODEs
por: Ingebrand, Tyler, et al.
Publicado: (2024)
por: Ingebrand, Tyler, et al.
Publicado: (2024)
Ejemplares similares
-
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
por: Ingebrand, Tyler, et al.
Publicado: (2025) -
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
por: Miller, Kevin S., et al.
Publicado: (2024) -
Basis-to-Basis Operator Learning Using Function Encoders
por: Ingebrand, Tyler, et al.
Publicado: (2024) -
Learning Generalizable Neural Operators for Inverse Problems
por: Thorpe, Adam J., et al.
Publicado: (2025) -
Adversarial Pursuits in Cislunar Space
por: Fotiadis, Filippos, et al.
Publicado: (2025)