Sparsifying dimensionality reduction of PDE solution data with Bregman learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Heeringa, Tjeerd Jan, Brune, Christoph, Guo, Mengwu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality
por: Yan, Weihao, et al.
Publicado: (2025)
por: Yan, Weihao, et al.
Publicado: (2025)
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
por: Jiang, Shuai, et al.
Publicado: (2026)
por: Jiang, Shuai, et al.
Publicado: (2026)
Data-induced multiscale losses and efficient multirate gradient descent schemes
por: He, Juncai, et al.
Publicado: (2024)
por: He, Juncai, et al.
Publicado: (2024)
Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair
por: Kassinos, Stavros C.
Publicado: (2025)
por: Kassinos, Stavros C.
Publicado: (2025)
Polyharmonic Cascade
por: Bakhvalov, Yuriy N.
Publicado: (2025)
por: Bakhvalov, Yuriy N.
Publicado: (2025)
$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
por: Dang, Kieu, et al.
Publicado: (2025)
por: Dang, Kieu, et al.
Publicado: (2025)
Deep Networks are Reproducing Kernel Chains
por: Heeringa, Tjeerd Jan, et al.
Publicado: (2025)
por: Heeringa, Tjeerd Jan, et al.
Publicado: (2025)
NeurOptimisation: The Spiking Way to Evolve
por: Cruz-Duarte, Jorge Mario, et al.
Publicado: (2025)
por: Cruz-Duarte, Jorge Mario, et al.
Publicado: (2025)
Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware via File System Behavioral Analysis
por: Nayak, Prabhudarshi, et al.
Publicado: (2026)
por: Nayak, Prabhudarshi, et al.
Publicado: (2026)
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
por: Fernández-Godino, M. Giselle, et al.
Publicado: (2025)
por: Fernández-Godino, M. Giselle, et al.
Publicado: (2025)
Local properties of neural networks through the lens of layer-wise Hessians
por: Bolshim, Maxim, et al.
Publicado: (2025)
por: Bolshim, Maxim, et al.
Publicado: (2025)
ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
por: BC, Samiksha
Publicado: (2025)
por: BC, Samiksha
Publicado: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
por: Bolshim, Maxim, et al.
Publicado: (2026)
por: Bolshim, Maxim, et al.
Publicado: (2026)
Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
por: Bolshim, Maxim, et al.
Publicado: (2026)
por: Bolshim, Maxim, et al.
Publicado: (2026)
"Abuse Risks are Often Inherent to Product Features": Exploring AI Vendors' Bug Bounty and Responsible Disclosure Policies
por: Piao, Yangheran, et al.
Publicado: (2025)
por: Piao, Yangheran, et al.
Publicado: (2025)
Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum
por: Zhang, Minxin, et al.
Publicado: (2026)
por: Zhang, Minxin, et al.
Publicado: (2026)
Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
por: Wasif, Dawood, et al.
Publicado: (2026)
por: Wasif, Dawood, et al.
Publicado: (2026)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
por: Du, Wenzhang
Publicado: (2025)
por: Du, Wenzhang
Publicado: (2025)
A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
por: Ismail, Nasim Abdirahman, et al.
Publicado: (2026)
por: Ismail, Nasim Abdirahman, et al.
Publicado: (2026)
Physics-based Approximation and Prediction of Speedlines in Compressor Performance Maps
por: Akiev, Abdul-Malik, et al.
Publicado: (2026)
por: Akiev, Abdul-Malik, et al.
Publicado: (2026)
Autoencoders in Function Space
por: Bunker, Justin, et al.
Publicado: (2024)
por: Bunker, Justin, et al.
Publicado: (2024)
Polyharmonic Spline Packages: Composition, Efficient Procedures for Computation and Differentiation
por: Bakhvalov, Yuriy N.
Publicado: (2025)
por: Bakhvalov, Yuriy N.
Publicado: (2025)
Evaluation of Differential Privacy Mechanisms on Federated Learning
por: Varsani, Tejash
Publicado: (2025)
por: Varsani, Tejash
Publicado: (2025)
Active Learning for Conditional Generative Compressed Sensing
por: DeLise, Alexander, et al.
Publicado: (2026)
por: DeLise, Alexander, et al.
Publicado: (2026)
Alternately-optimized SNN method for acoustic scattering problem in unbounded domain
por: Song, Haoming, et al.
Publicado: (2025)
por: Song, Haoming, et al.
Publicado: (2025)
TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
por: Hsu, Shang-Ling, et al.
Publicado: (2026)
por: Hsu, Shang-Ling, et al.
Publicado: (2026)
Learning Nonlinear Finite Element Solution Operators using Multilayer Perceptrons and Energy Minimization
por: Larson, Mats G., et al.
Publicado: (2024)
por: Larson, Mats G., et al.
Publicado: (2024)
Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs
por: Hill, Brennen, et al.
Publicado: (2025)
por: Hill, Brennen, et al.
Publicado: (2025)
Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks
por: Botta, Paolo, et al.
Publicado: (2025)
por: Botta, Paolo, et al.
Publicado: (2025)
Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
por: Awan, Muhammad Bilal, et al.
Publicado: (2025)
por: Awan, Muhammad Bilal, et al.
Publicado: (2025)
Adaptive Kernel Methods
por: Dózsa, Tamás, et al.
Publicado: (2026)
por: Dózsa, Tamás, et al.
Publicado: (2026)
The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses
por: Xavier, Fabio Correa
Publicado: (2025)
por: Xavier, Fabio Correa
Publicado: (2025)
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
por: Dominguez, Alejandro Rodriguez, et al.
Publicado: (2025)
por: Dominguez, Alejandro Rodriguez, et al.
Publicado: (2025)
Layer-Parallel Training for Transformers
por: Jiang, Shuai, et al.
Publicado: (2026)
por: Jiang, Shuai, et al.
Publicado: (2026)
Handbook of Convergence Theorems for (Stochastic) Gradient Methods
por: Garrigos, Guillaume, et al.
Publicado: (2023)
por: Garrigos, Guillaume, et al.
Publicado: (2023)
BreakFun: Jailbreaking LLMs via Schema Exploitation
por: Oskooei, Amirkia Rafiei, et al.
Publicado: (2025)
por: Oskooei, Amirkia Rafiei, et al.
Publicado: (2025)
Initialization of a Polyharmonic Cascade, Launch and Testing
por: Bakhvalov, Yuriy N.
Publicado: (2025)
por: Bakhvalov, Yuriy N.
Publicado: (2025)
Sparse Training of Neural Networks based on Multilevel Mirror Descent
por: Lunk, Yannick, et al.
Publicado: (2026)
por: Lunk, Yannick, et al.
Publicado: (2026)
Detecting Sleeper Agents in Large Language Models via Semantic Drift Analysis
por: Zanbaghi, Shahin, et al.
Publicado: (2025)
por: Zanbaghi, Shahin, et al.
Publicado: (2025)
Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography
por: Kurosawa, Isao
Publicado: (2026)
por: Kurosawa, Isao
Publicado: (2026)
Ejemplares similares
-
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality
por: Yan, Weihao, et al.
Publicado: (2025) -
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
por: Jiang, Shuai, et al.
Publicado: (2026) -
Data-induced multiscale losses and efficient multirate gradient descent schemes
por: He, Juncai, et al.
Publicado: (2024) -
Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair
por: Kassinos, Stavros C.
Publicado: (2025) -
Polyharmonic Cascade
por: Bakhvalov, Yuriy N.
Publicado: (2025)