Saved in:
| Main Authors: | Askaripour, Khadijeh, Bekasiewicz, Adrian, Koziel, Slawomir |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.03810 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unsupervised Surrogate-Assisted Synthesis of Free-Form Planar Antenna Topologies for IoT Applications
by: Askaripour, Khadijeh, et al.
Published: (2026)
by: Askaripour, Khadijeh, et al.
Published: (2026)
Strategies for Feature-Assisted Development of Topology Agnostic Planar Antennas Using Variable-Fidelity Models
by: Bekasiewicz, Adrian, et al.
Published: (2025)
by: Bekasiewicz, Adrian, et al.
Published: (2025)
Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions
by: Dzwonkowski, Mariusz, et al.
Published: (2025)
by: Dzwonkowski, Mariusz, et al.
Published: (2025)
TR-Based Antenna Design with Forward FD: the Effects of Step Size on the Optimization Performance
by: Bekasiewicz, Adrian, et al.
Published: (2025)
by: Bekasiewicz, Adrian, et al.
Published: (2025)
Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure
by: Bekasiewicz, Adrian, et al.
Published: (2025)
by: Bekasiewicz, Adrian, et al.
Published: (2025)
Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications
by: Bekasiewicz, Adrian, et al.
Published: (2025)
by: Bekasiewicz, Adrian, et al.
Published: (2025)
Predictions Based on Pixel Data: Insights from PDEs and Finite Differences
by: Celledoni, Elena, et al.
Published: (2023)
by: Celledoni, Elena, et al.
Published: (2023)
A Common Interface for Automatic Differentiation
by: Dalle, Guillaume, et al.
Published: (2025)
by: Dalle, Guillaume, et al.
Published: (2025)
Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective
by: Iske, Meira, et al.
Published: (2026)
by: Iske, Meira, et al.
Published: (2026)
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
by: Cheng, Nuojin, et al.
Published: (2023)
by: Cheng, Nuojin, et al.
Published: (2023)
AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks
by: An, Kang, et al.
Published: (2025)
by: An, Kang, et al.
Published: (2025)
Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
by: Chen, Chuqi, et al.
Published: (2024)
by: Chen, Chuqi, et al.
Published: (2024)
Variational (Energy-Based) Spectral Learning: A Machine Learning Framework for Solving Partial Differential Equations
by: Hammad, M. M.
Published: (2026)
by: Hammad, M. M.
Published: (2026)
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations
by: Jentzen, Arnulf, et al.
Published: (2023)
by: Jentzen, Arnulf, et al.
Published: (2023)
Learning Discontinuous Galerkin Solutions to Elliptic Problems via Small Linear Convolutional Neural Networks
by: Celaya, Adrian, et al.
Published: (2025)
by: Celaya, Adrian, et al.
Published: (2025)
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures
by: Gao, Yihang, et al.
Published: (2024)
by: Gao, Yihang, et al.
Published: (2024)
UFO: A Domain-Unification-Free Operator Framework for Generalized Operator Learning
by: Qiao, Hanli, et al.
Published: (2026)
by: Qiao, Hanli, et al.
Published: (2026)
A Deep Learning Framework for Multi-Operator Learning: Architectures and Approximation Theory
by: Weihs, Adrien, et al.
Published: (2025)
by: Weihs, Adrien, et al.
Published: (2025)
A Conformal Prediction Framework for Uncertainty Quantification in Physics-Informed Neural Networks
by: Yu, Yifan, et al.
Published: (2025)
by: Yu, Yifan, et al.
Published: (2025)
An Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator Learning
by: Gonon, Lukas, et al.
Published: (2024)
by: Gonon, Lukas, et al.
Published: (2024)
A Probabilistic Framework for Solving High-Frequency Helmholtz Equations via Diffusion Models
by: Zou, Yicheng, et al.
Published: (2026)
by: Zou, Yicheng, et al.
Published: (2026)
Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation
by: Valentino, Carmine, et al.
Published: (2026)
by: Valentino, Carmine, et al.
Published: (2026)
Sparsity via Hyperpriors: A Theoretical and Algorithmic Study under Empirical Bayes Framework
by: Li, Zhitao, et al.
Published: (2025)
by: Li, Zhitao, et al.
Published: (2025)
Structure-preserving learning for multi-symplectic PDEs
by: Yıldız, Süleyman, et al.
Published: (2024)
by: Yıldız, Süleyman, et al.
Published: (2024)
Learning Stochastic Dynamical Systems with Structured Noise
by: Guo, Ziheng, et al.
Published: (2025)
by: Guo, Ziheng, et al.
Published: (2025)
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning
by: Dereziński, Michał, et al.
Published: (2024)
by: Dereziński, Michał, et al.
Published: (2024)
Adaptive-Distribution Randomized Neural Networks for PDEs: A Low-Dimensional Distribution-Learning Framework
by: Yang, You, et al.
Published: (2026)
by: Yang, You, et al.
Published: (2026)
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
by: Moya, Christian, et al.
Published: (2024)
by: Moya, Christian, et al.
Published: (2024)
Quantum Harmonic Analysis and the Structure in Data: Augmentation
by: Doerfler, Monika, et al.
Published: (2025)
by: Doerfler, Monika, et al.
Published: (2025)
DP-EMAR: A Differentially Private Framework for Autonomous Model Weight Repair in Federated IoT Systems
by: Kabgere, Chethana Prasad, et al.
Published: (2025)
by: Kabgere, Chethana Prasad, et al.
Published: (2025)
A Gaussian Process Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations
by: Mora, Carlos, et al.
Published: (2024)
by: Mora, Carlos, et al.
Published: (2024)
Neural Control Variates with Automatic Integration
by: Li, Zilu, et al.
Published: (2024)
by: Li, Zilu, et al.
Published: (2024)
Step-Size Decay and Structural Stagnation in Greedy Sparse Learning
by: Berná, Pablo M.
Published: (2026)
by: Berná, Pablo M.
Published: (2026)
Scaling up Probabilistic PDE Simulators with Structured Volumetric Information
by: Weiland, Tim, et al.
Published: (2024)
by: Weiland, Tim, et al.
Published: (2024)
Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity
by: Yoshida, Naoki, et al.
Published: (2025)
by: Yoshida, Naoki, et al.
Published: (2025)
Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training
by: Chang, Che-Chia, et al.
Published: (2026)
by: Chang, Che-Chia, et al.
Published: (2026)
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation
by: Katende, Ronald
Published: (2025)
by: Katende, Ronald
Published: (2025)
On the Structure of Floating-Point Noise in Batch-Invariant GPU Matrix Multiplication
by: Yashwanth, Tadisetty Sai
Published: (2025)
by: Yashwanth, Tadisetty Sai
Published: (2025)
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning
by: Cai, Yukai, et al.
Published: (2024)
by: Cai, Yukai, et al.
Published: (2024)
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system
by: Schotthöfer, Steffen, et al.
Published: (2024)
by: Schotthöfer, Steffen, et al.
Published: (2024)
Similar Items
-
Unsupervised Surrogate-Assisted Synthesis of Free-Form Planar Antenna Topologies for IoT Applications
by: Askaripour, Khadijeh, et al.
Published: (2026) -
Strategies for Feature-Assisted Development of Topology Agnostic Planar Antennas Using Variable-Fidelity Models
by: Bekasiewicz, Adrian, et al.
Published: (2025) -
Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions
by: Dzwonkowski, Mariusz, et al.
Published: (2025) -
TR-Based Antenna Design with Forward FD: the Effects of Step Size on the Optimization Performance
by: Bekasiewicz, Adrian, et al.
Published: (2025) -
Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure
by: Bekasiewicz, Adrian, et al.
Published: (2025)