Key papers

• A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar (2026)
  C. J. Moore et al.
  4.39
• SO(3)-invariant PCA with application to molecular data (2025)
  Michael Fraiman et al.
  4.03
• Separation Capacity of Scattering Networks on Low-Dimensional Datasets (2026)
  Konstantin H\"aberle et al.
  3.51
• Atmospheric Diffusion-Guided Spatio-Temporal Transformer for Nuclear Radiation Forecasting (2026)
  Tengfei Lyu et al.
  2.00
• A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations (2026)
  Xiang Shi et al.
  2.00
• Inferring Missing Trajectory Data with Temporal Convolutional Networks (2026)
  Ilinca Tiriblecea et al.
  2.00
• CORF-GS: Real-Time Wireless Radiance Field Reconstruction via Coupled Optical-RF Gaussian Splatting (2026)
  Jinya Zhang et al.
  2.00
• Matrix-Free Photoacoustic Image Reconstruction via Sensor-Token Self-Attention (2026)
  Mary John et al.
  2.00
• Using Data-Derived Priors to Guide CNN Architecture Design for NIR Chemometrics (2026)
  D\'ario Passos
  2.00
• WALoMA: A Multitask Wireless Foundation Model via Adaptive Low-Rank Masked Autoencoders (2026)
  Madi Makin et al.
  2.00
• Device Invariance using Domain Adaptation on Acoustic Scene Classification (2026)
  Abhishek dileep et al.
  2.00
• A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management (2026)
  Athanasios Koukosias et al.
  1.89
• Convolutional Neural Networks in Vis-NIR Chemometrics: From Contradiction to Conditional Design (2026)
  D\'ario Passos
  1.89
• Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning (2026)
  Mert Can Turkmen et al.
  1.83
• SwiftGS: Episodic Priors for Immediate Satellite Surface Recovery (2026)
  Rong Fu et al.
  1.78
• A Multi-Modal Foundational Model for Wireless Communication and Sensing (2026)
  Vahid Yazdnian et al.
  1.72
• Optimizing Spectral Prediction in MXene-Based Metasurfaces Through Multi-Channel Spectral Refinement and Savitzky-Golay Smoothing (2026)
  Shujaat Khan et al.
  1.72
• The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA (2026)
  Zien Ma et al.
  1.72
• Feature-based Inversion of 2.5D Controlled Source Electromagnetic Data using Generative Priors (2026)
  Hongyu Zhou et al.
  1.67
• VSE: Variational state estimation of complex model-free process (2026)
  Gustav Nor\'en et al.
  1.67
• Clustering Guided Residual Neural Networks for Multi-Tx Localization in Molecular Communications (2025)
  Ali Sonmez et al.
  1.56
• Analyse comparative d'algorithmes de restauration en architecture d\'epli\'ee pour des signaux chromatographiques parcimonieux (2025)
  Mouna Gharbi et al.
  1.50
• RGC: a radio AGN classifier based on deep learning. I. A semi-supervised model for the VLA images of bent radio AGNs (2025)
  M.S. Hossain (1) et al.
  1.50
• RF-Informed Graph Neural Networks for Accurate and Data-Efficient Circuit Performance Prediction (2025)
  Anahita Asadi et al.
  1.39
• From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences (2025)
  Kazuma Kobayashi et al.
  1.28
• A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation (2025)
  Sarah E. Wessinger et al.
  1.22
• A Neural Network Architecture Based on Attention Gate Mechanism for 3D Magnetotelluric Forward Modeling (2025)
  Xin Zhong et al.
  1.11
• Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance (2022)
  Qinqin Yang et al.
  —
• Physics-assisted Generative Adversarial Network for X-Ray Tomography (2022)
  Zhen Guo et al.
  —
• Deep learning based closed-loop optimization of geothermal reservoir production (2022)
  Nanzhe Wang et al.
  —
• Aboveground carbon biomass estimate with Physics-informed deep network (2022)
  Juan Nathaniel et al.
  —
• S7: Selective and Simplified State Space Layers for Sequence Modeling (2024)
  Taylan Soydan et al.
  —