Saved in:
| Main Authors: | Bagherkhani, Sahar, Earls, Jackson Christopher, De Flaviis, Franco, Baldi, Pierre |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.17065 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparse Phased Array Optimization Using Deep Learning
by: Lu, David, et al.
Published: (2025)
by: Lu, David, et al.
Published: (2025)
chebgreen: Learning and Interpolating Continuous Empirical Green's Functions from Data
by: Praveen, Harshwardhan, et al.
Published: (2025)
by: Praveen, Harshwardhan, et al.
Published: (2025)
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks
by: Ferguson, Kevin, et al.
Published: (2024)
by: Ferguson, Kevin, et al.
Published: (2024)
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
by: Luo, Xihaier, et al.
Published: (2024)
by: Luo, Xihaier, et al.
Published: (2024)
Visual Spatial Learning: Single-Field Spatial Interpolation Using Convolutional Neural Networks
by: Tinoco, Daniel, et al.
Published: (2026)
by: Tinoco, Daniel, et al.
Published: (2026)
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction
by: Xu, Wei, et al.
Published: (2024)
by: Xu, Wei, et al.
Published: (2024)
Dynamic Reconstruction of Ultrasound-Derived Flow Fields With Physics-Informed Neural Fields
by: Patel, Viraj, et al.
Published: (2025)
by: Patel, Viraj, et al.
Published: (2025)
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
by: Chu, Mengyu, et al.
Published: (2022)
by: Chu, Mengyu, et al.
Published: (2022)
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves
by: Heaney, Claire E., et al.
Published: (2020)
by: Heaney, Claire E., et al.
Published: (2020)
Uncertainty-Aware Flow Field Reconstruction Using SVGP Kolmogorov-Arnold Networks
by: Ju, Y. Sungtaek
Published: (2025)
by: Ju, Y. Sungtaek
Published: (2025)
RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening
by: Tang, Tao, et al.
Published: (2025)
by: Tang, Tao, et al.
Published: (2025)
Conformal Fields from Neural Networks
by: Halverson, James, et al.
Published: (2024)
by: Halverson, James, et al.
Published: (2024)
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
by: Liu, Toni J. B., et al.
Published: (2024)
by: Liu, Toni J. B., et al.
Published: (2024)
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
by: Liu, Toni J. B., et al.
Published: (2024)
by: Liu, Toni J. B., et al.
Published: (2024)
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)
by: Ancelotti, Amy, et al.
Published: (2024)
Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
by: Zhang, Huiwen, et al.
Published: (2026)
by: Zhang, Huiwen, et al.
Published: (2026)
Physics-informed Blind Reconstruction of Dense Fields from Sparse Measurements using Neural Networks with a Differentiable Simulator
by: Aloni, Ofek, et al.
Published: (2026)
by: Aloni, Ofek, et al.
Published: (2026)
From Code to Field: Evaluating the Robustness of Convolutional Neural Networks for Disease Diagnosis in Mango Leaves
by: de Andrade, Gabriel Vitorino, et al.
Published: (2025)
by: de Andrade, Gabriel Vitorino, et al.
Published: (2025)
Emotion Recognition Using Convolutional Neural Networks
by: Xu, Shaoyuan, et al.
Published: (2025)
by: Xu, Shaoyuan, et al.
Published: (2025)
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
by: Rashid, Ahmad, et al.
Published: (2023)
by: Rashid, Ahmad, et al.
Published: (2023)
Text-Trained LLMs Can Zero-Shot Extrapolate PDE Dynamics, Revealing a Three-Stage In-Context Learning Mechanism
by: Bao, Jiajun, et al.
Published: (2025)
by: Bao, Jiajun, et al.
Published: (2025)
Powerset Convolutional Neural Networks
by: Wendler, Chris, et al.
Published: (2019)
by: Wendler, Chris, et al.
Published: (2019)
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
by: Shen, Guoyao, et al.
Published: (2023)
by: Shen, Guoyao, et al.
Published: (2023)
Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective
by: Li, Tenghui, et al.
Published: (2021)
by: Li, Tenghui, et al.
Published: (2021)
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
by: Mattey, Revanth, et al.
Published: (2024)
by: Mattey, Revanth, et al.
Published: (2024)
Pruning Deep Convolutional Neural Network Using Conditional Mutual Information
by: Vu-Van, Tien, et al.
Published: (2024)
by: Vu-Van, Tien, et al.
Published: (2024)
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training
by: Ick, Christopher, et al.
Published: (2025)
by: Ick, Christopher, et al.
Published: (2025)
Mean-Field Limits for Two-Layer Neural Networks Trained with Consensus-Based Optimization
by: De Deyn, William, et al.
Published: (2025)
by: De Deyn, William, et al.
Published: (2025)
Lines of Thought in Large Language Models
by: Sarfati, Raphaël, et al.
Published: (2024)
by: Sarfati, Raphaël, et al.
Published: (2024)
Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
by: Kim, Yujin, et al.
Published: (2025)
by: Kim, Yujin, et al.
Published: (2025)
Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks
by: Li, Panfeng, et al.
Published: (2023)
by: Li, Panfeng, et al.
Published: (2023)
Stress Assessment with Convolutional Neural Network Using PPG Signals
by: Hasanpoor, Yasin, et al.
Published: (2024)
by: Hasanpoor, Yasin, et al.
Published: (2024)
LoFi: Neural Local Fields for Scalable Image Reconstruction
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024)
by: Khorashadizadeh, AmirEhsan, et al.
Published: (2024)
Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks
by: Fenton, Michael James, et al.
Published: (2023)
by: Fenton, Michael James, et al.
Published: (2023)
HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers
by: Ghosh, Debamita, et al.
Published: (2023)
by: Ghosh, Debamita, et al.
Published: (2023)
Multiscale Training of Convolutional Neural Networks
by: Ahamed, Shadab, et al.
Published: (2025)
by: Ahamed, Shadab, et al.
Published: (2025)
Variational Graph Convolutional Neural Networks
by: Oleksiienko, Illia, et al.
Published: (2025)
by: Oleksiienko, Illia, et al.
Published: (2025)
Advection Augmented Convolutional Neural Networks
by: Zakariaei, Niloufar, et al.
Published: (2024)
by: Zakariaei, Niloufar, et al.
Published: (2024)
Dual Convexified Convolutional Neural Networks
by: Bai, Site, et al.
Published: (2022)
by: Bai, Site, et al.
Published: (2022)
3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks
by: Yu, Haohan, et al.
Published: (2026)
by: Yu, Haohan, et al.
Published: (2026)
Similar Items
-
Sparse Phased Array Optimization Using Deep Learning
by: Lu, David, et al.
Published: (2025) -
chebgreen: Learning and Interpolating Continuous Empirical Green's Functions from Data
by: Praveen, Harshwardhan, et al.
Published: (2025) -
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks
by: Ferguson, Kevin, et al.
Published: (2024) -
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
by: Luo, Xihaier, et al.
Published: (2024) -
Visual Spatial Learning: Single-Field Spatial Interpolation Using Convolutional Neural Networks
by: Tinoco, Daniel, et al.
Published: (2026)