Physics-informed machine learning as a kernel method
Fuente:
arXiv
Saved in:
| Main Authors: | Doumèche, Nathan, Bach, Francis, Biau, Gérard, Boyer, Claire |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-informed kernel learning
by: Doumèche, Nathan, et al.
Published: (2024)
by: Doumèche, Nathan, et al.
Published: (2024)
Fast kernel methods: Sobolev, physics-informed, and additive models
by: Doumèche, Nathan, et al.
Published: (2025)
by: Doumèche, Nathan, et al.
Published: (2025)
Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)
by: Doumèche, Nathan, et al.
Published: (2025)
On the convergence of PINNs
by: Doumèche, Nathan, et al.
Published: (2023)
by: Doumèche, Nathan, et al.
Published: (2023)
A Note on k-NN Gating in RAG
by: Biau, Gérard, et al.
Published: (2026)
by: Biau, Gérard, et al.
Published: (2026)
Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)
by: Doumèche, Nathan
Published: (2025)
Influence as soft sparsity: Estimation of monotone functions on $\{0,1\}^d$
by: Biau, Gérard
Published: (2026)
by: Biau, Gérard
Published: (2026)
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
by: Dewolf, Nicolas
Published: (2024)
by: Dewolf, Nicolas
Published: (2024)
Convergence of Shallow ReLU Networks on Weakly Interacting Data
by: Dana, Léo, et al.
Published: (2025)
by: Dana, Léo, et al.
Published: (2025)
Optimal treatment regimes for the net benefit of a treatment
by: Petit, François, et al.
Published: (2025)
by: Petit, François, et al.
Published: (2025)
Reproducing kernel methods for machine learning, PDEs, and statistics
by: LeFloch, Philippe G., et al.
Published: (2024)
by: LeFloch, Philippe G., et al.
Published: (2024)
Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localization
by: Silva, Vinicius L. S., et al.
Published: (2025)
by: Silva, Vinicius L. S., et al.
Published: (2025)
Representation learning with a transformer by contrastive learning for money laundering detection
by: Guéneau, Harold, et al.
Published: (2025)
by: Guéneau, Harold, et al.
Published: (2025)
Influence functions and regularity tangents for efficient active learning
by: Eaton, Frederik
Published: (2024)
by: Eaton, Frederik
Published: (2024)
Generalising realisability in statistical learning theory under epistemic uncertainty
by: Cuzzolin, Fabio
Published: (2024)
by: Cuzzolin, Fabio
Published: (2024)
Cost-optimal Sequential Testing via Doubly Robust Q-learning
by: Zhou, Doudou, et al.
Published: (2026)
by: Zhou, Doudou, et al.
Published: (2026)
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation
by: Li, Yingru, et al.
Published: (2024)
by: Li, Yingru, et al.
Published: (2024)
Distribution-consistency Structural Causal Models
by: Gong, Heyang, et al.
Published: (2024)
by: Gong, Heyang, et al.
Published: (2024)
About the Cost of Central Privacy in Density Estimation
by: Lalanne, Clément, et al.
Published: (2023)
by: Lalanne, Clément, et al.
Published: (2023)
Canonical Representations of Markovian Structural Causal Models: A Framework for Counterfactual Reasoning
by: de Lara, Lucas
Published: (2025)
by: de Lara, Lucas
Published: (2025)
A Measure-Theoretic Axiomatisation of Causality
by: Park, Junhyung, et al.
Published: (2023)
by: Park, Junhyung, et al.
Published: (2023)
Identifiability of total effects from abstractions of time series causal graphs
by: Assaad, Charles K., et al.
Published: (2023)
by: Assaad, Charles K., et al.
Published: (2023)
Note on the identification of total effect in Cluster-DAGs with cycles
by: Yvernes, Clément
Published: (2025)
by: Yvernes, Clément
Published: (2025)
Identifiability by common backdoor in summary causal graphs of time series
by: Yvernes, Clément, et al.
Published: (2025)
by: Yvernes, Clément, et al.
Published: (2025)
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
by: Yvernes, Clément, et al.
Published: (2025)
by: Yvernes, Clément, et al.
Published: (2025)
Conditional Performance Guarantee for Large Reasoning Models
by: Huang, Jianguo, et al.
Published: (2026)
by: Huang, Jianguo, et al.
Published: (2026)
Stochastic Direct Search Method for Blind Resource Allocation
by: Achddou, Juliette, et al.
Published: (2022)
by: Achddou, Juliette, et al.
Published: (2022)
Accelerated Online Risk-Averse Policy Evaluation in POMDPs with Theoretical Guarantees and Novel CVaR Bounds
by: Pariente, Yaacov, et al.
Published: (2026)
by: Pariente, Yaacov, et al.
Published: (2026)
Statistical Inference for Misspecified Contextual Bandits
by: Guo, Yongyi, et al.
Published: (2025)
by: Guo, Yongyi, et al.
Published: (2025)
Retraining as Approximate Bayesian Inference
by: Katz, Harrison
Published: (2026)
by: Katz, Harrison
Published: (2026)
Entropy, concentration, and learning: a statistical mechanics primer
by: Balsubramani, Akshay
Published: (2024)
by: Balsubramani, Akshay
Published: (2024)
Causal Digital Twins for Cyber-Physical Security: A Framework for Robust Anomaly Detection in Industrial Control Systems
by: Homaei, Mohammadhossein, et al.
Published: (2025)
by: Homaei, Mohammadhossein, et al.
Published: (2025)
Hierarchical biomarker thresholding: a model-agnostic framework for stability
by: Debeaupuis, O.
Published: (2025)
by: Debeaupuis, O.
Published: (2025)
Iteratively reweighted kernel machines efficiently learn sparse functions
by: Zhu, Libin, et al.
Published: (2025)
by: Zhu, Libin, et al.
Published: (2025)
The Geometry of Knowing: From Possibilistic Ignorance to Probabilistic Certainty -- A Measure-Theoretic Framework for Epistemic Convergence
by: Jah, Moriba Kemessia
Published: (2026)
by: Jah, Moriba Kemessia
Published: (2026)
Transport f divergences
by: Li, Wuchen
Published: (2025)
by: Li, Wuchen
Published: (2025)
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
by: Acharyya, Aranyak, et al.
Published: (2025)
by: Acharyya, Aranyak, et al.
Published: (2025)
Nonparametric Linear Feature Learning in Regression Through Regularisation
by: Follain, Bertille, et al.
Published: (2023)
by: Follain, Bertille, et al.
Published: (2023)
Smooth Non-Stationary Bandits
by: Jia, Su, et al.
Published: (2023)
by: Jia, Su, et al.
Published: (2023)
A Spectral Framework for Closed-Form Relative Density Estimation
by: Bach, Francis
Published: (2026)
by: Bach, Francis
Published: (2026)
Similar Items
-
Physics-informed kernel learning
by: Doumèche, Nathan, et al.
Published: (2024) -
Fast kernel methods: Sobolev, physics-informed, and additive models
by: Doumèche, Nathan, et al.
Published: (2025) -
Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025) -
On the convergence of PINNs
by: Doumèche, Nathan, et al.
Published: (2023) -
A Note on k-NN Gating in RAG
by: Biau, Gérard, et al.
Published: (2026)