Robust Non-Linear Correlations via Polynomial Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Giuliani, Luca, Lombardi, Michele |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Uniform Weighted Deep Polynomial approximation
by: Yeon, Kingsley, et al.
Published: (2025)
by: Yeon, Kingsley, et al.
Published: (2025)
Deriving Transformer Architectures as Implicit Multinomial Regression
by: Actor, Jonas A., et al.
Published: (2025)
by: Actor, Jonas A., et al.
Published: (2025)
Robust low-rank training via approximate orthonormal constraints
by: Savostianova, Dayana, et al.
Published: (2023)
by: Savostianova, Dayana, et al.
Published: (2023)
Quasi-Framelets: Robust Graph Neural Networks via Adaptive Framelet Convolution
by: Yang, Mengxi, et al.
Published: (2022)
by: Yang, Mengxi, et al.
Published: (2022)
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
by: Khodak, Mikhail, et al.
Published: (2023)
by: Khodak, Mikhail, et al.
Published: (2023)
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
by: Zhang, Ce, et al.
Published: (2023)
by: Zhang, Ce, et al.
Published: (2023)
Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems
by: Berman, Jules, et al.
Published: (2026)
by: Berman, Jules, et al.
Published: (2026)
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
by: Li, Guoming, et al.
Published: (2024)
by: Li, Guoming, et al.
Published: (2024)
Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
by: Wang, Hong, et al.
Published: (2025)
by: Wang, Hong, et al.
Published: (2025)
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
by: Wang, Hong, et al.
Published: (2024)
by: Wang, Hong, et al.
Published: (2024)
Low-Rank Compression of Pretrained Models via Randomized Subspace Iteration
by: Pourkamali-Anaraki, Farhad
Published: (2026)
by: Pourkamali-Anaraki, Farhad
Published: (2026)
CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
by: Hou, Xianglong, et al.
Published: (2025)
by: Hou, Xianglong, et al.
Published: (2025)
ProFlow: Zero-Shot Physics-Consistent Sampling via Proximal Flow Guidance
by: Yu, Zichao, et al.
Published: (2026)
by: Yu, Zichao, et al.
Published: (2026)
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
by: Son, Hwijae
Published: (2025)
by: Son, Hwijae
Published: (2025)
Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation
by: Carrara, Davide, et al.
Published: (2026)
by: Carrara, Davide, et al.
Published: (2026)
DeepContour: A Hybrid Deep Learning Framework for Accelerating Generalized Eigenvalue Problem Solving via Efficient Contour Design
by: Chen, Yeqiu, et al.
Published: (2025)
by: Chen, Yeqiu, et al.
Published: (2025)
Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression
by: Yan, Mingsong, et al.
Published: (2026)
by: Yan, Mingsong, et al.
Published: (2026)
Online Pseudo-average Shifting Attention(PASA) for Robust Low-precision LLM Inference: Algorithms and Numerical Analysis
by: Cheng, Long, et al.
Published: (2025)
by: Cheng, Long, et al.
Published: (2025)
UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
by: Han, Xi, et al.
Published: (2024)
by: Han, Xi, et al.
Published: (2024)
Physics-Informed Inference Time Scaling for Solving High-Dimensional PDE via Defect Correction
by: Fan, Zexi, et al.
Published: (2025)
by: Fan, Zexi, et al.
Published: (2025)
Truncated Matrix Completion - An Empirical Study
by: Naik, Rishhabh, et al.
Published: (2025)
by: Naik, Rishhabh, et al.
Published: (2025)
BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs
by: Liu, Jerry, et al.
Published: (2025)
by: Liu, Jerry, et al.
Published: (2025)
Random weights of DNNs and emergence of fixed points
by: Berlyand, L., et al.
Published: (2025)
by: Berlyand, L., et al.
Published: (2025)
Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation
by: Heinsen, Franz A., et al.
Published: (2025)
by: Heinsen, Franz A., et al.
Published: (2025)
GRAFT: Gradient-Aware Fast MaxVol Technique for Dynamic Data Sampling
by: Jha, Ashish, et al.
Published: (2025)
by: Jha, Ashish, et al.
Published: (2025)
KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator
by: Liu, Zesheng, et al.
Published: (2025)
by: Liu, Zesheng, et al.
Published: (2025)
Market-Driven Subset Selection for Budgeted Training
by: Jha, Ashish, et al.
Published: (2025)
by: Jha, Ashish, et al.
Published: (2025)
A Mathematical Explanation of Transformers
by: Tai, Xue-Cheng, et al.
Published: (2025)
by: Tai, Xue-Cheng, et al.
Published: (2025)
Beyond Loss Guidance: Using PDE Residuals as Spectral Attention in Diffusion Neural Operators
by: Sawhney, Medha, et al.
Published: (2025)
by: Sawhney, Medha, et al.
Published: (2025)
STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem
by: Wang, Hong, et al.
Published: (2025)
by: Wang, Hong, et al.
Published: (2025)
Quasi-Random Physics-informed Neural Networks
by: Yu, Tianchi, et al.
Published: (2025)
by: Yu, Tianchi, et al.
Published: (2025)
Mixed precision accumulation for neural network inference guided by componentwise forward error analysis
by: Arar, El-Mehdi El, et al.
Published: (2025)
by: Arar, El-Mehdi El, et al.
Published: (2025)
Branching Strategies Based on Subgraph GNNs: A Study on Theoretical Promise versus Practical Reality
by: Zhou, Junru, et al.
Published: (2025)
by: Zhou, Junru, et al.
Published: (2025)
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
by: Li, Qinglun, et al.
Published: (2025)
by: Li, Qinglun, et al.
Published: (2025)
Solving PDEs With Deep Neural Nets under General Boundary Conditions
by: Zhang, Chenggong
Published: (2025)
by: Zhang, Chenggong
Published: (2025)
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
by: Yao, Jiachen, et al.
Published: (2025)
by: Yao, Jiachen, et al.
Published: (2025)
Monte Carlo-Type Neural Operator for Differential Equations
by: Choutri, Salah Eddine, et al.
Published: (2025)
by: Choutri, Salah Eddine, et al.
Published: (2025)
Defining Foundation Models for Computational Science: A Call for Clarity and Rigor
by: Choi, Youngsoo, et al.
Published: (2025)
by: Choi, Youngsoo, et al.
Published: (2025)
Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study
by: Patel, Janak M., et al.
Published: (2025)
by: Patel, Janak M., et al.
Published: (2025)
Quantum Neural Network Restatement of Markov Jump Process
by: Zarezadeh, Z., et al.
Published: (2025)
by: Zarezadeh, Z., et al.
Published: (2025)
Similar Items
-
On Uniform Weighted Deep Polynomial approximation
by: Yeon, Kingsley, et al.
Published: (2025) -
Deriving Transformer Architectures as Implicit Multinomial Regression
by: Actor, Jonas A., et al.
Published: (2025) -
Robust low-rank training via approximate orthonormal constraints
by: Savostianova, Dayana, et al.
Published: (2023) -
Quasi-Framelets: Robust Graph Neural Networks via Adaptive Framelet Convolution
by: Yang, Mengxi, et al.
Published: (2022) -
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
by: Khodak, Mikhail, et al.
Published: (2023)