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TitleStatusHype
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach—0
VDPI: Video Deblurring with Pseudo-inverse Modeling—0
Rapid Gyroscope Calibration: A Deep Learning Approach—0
Using Deep Learning to Design High Aspect Ratio Fusion DevicesCode0
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions—0
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
Integrating Features for Recognizing Human Activities through Optimized Parameters in Graph Convolutional Networks and Transformer Architectures—0
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey—0
Improving 3D deep learning segmentation with biophysically motivated cell synthesis—0
Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal GroundingCode1
ART: Actually Robust TrainingCode1
ChartEye: A Deep Learning Framework for Chart Information Extraction—0
The Role of Fibration Symmetries in Geometric Deep Learning—0
Deep Learning Autoencoders for Reducing PAPR in Coherent Optical Systems—0
Deep learning-based ecological analysis of camera trap images is impacted by training data quality and quantity—0
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning—0
Beamline Steering Using Deep Learning Models—0
A systematic review: Deep learning-based methods for pneumonia region detection—0
Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography—0
Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models—0
Deep Learning Improvements for Sparse Spatial Field Reconstruction—0
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)Code0
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationCode0
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features—0
Approaching Deep Learning through the Spectral Dynamics of WeightsCode1
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