Model-Based Deep Learning
Explore this paper's citation graph
- Type
- article
- Published
- 2020-12-15
- Cited by
- 527
- References
- 178
- Access
- Open access
- OpenAlex
- https://openalex.org/W3112170415
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:229180899
Keywords
Computer science, Deep learning, Artificial intelligence, Exploit, Machine learning
References
- Information Theory: 1948-1998 - Guest Editorial
- Compressed Sensing
- Machine Learning: A Bayesian and Optimization Perspective
- Convex Optimization in Signal Processing and Communications
- Sampling Theory: Beyond Bandlimited Systems
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
- Maximum likelihood direction finding of stochastic sources: a separable solution
- Deep Learning Face Attributes in the Wild
- Distributed Compressive Sensing: A Deep Learning Approach
- The Design of Approximation Algorithms
- Improving the resolution performance of eigenstructure-based direction-finding algorithms
- Auto-Encoding Variational Bayes
- Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
- Adaptive Filter Theory
- Extracting and composing robust features with denoising autoencoders
- Long Short-Term Memory
- Learning Deep Architectures for AI
- A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
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- Learned Factor Graphs for Inference From Stationary Time Sequences
- LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers
- Kalmannet: Data-Driven Kalman Filtering
- A Neural Network Method for Nonconvex Optimization and its Application on Parameter Retrieval
- FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation
- A Hybrid Model-Based and Learning-Based Approach for Classification Using Limited Number of Training Samples
- PM2.5 Concentration Prediction Based on CNN-BiLSTM and Attention Mechanism
- KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
- Algorithm Unrolling for Massive Access via Deep Neural Networks With Theoretical Guarantee
- A Survey of Sound Source Localization with Deep Learning Methods
- ML-aided power allocation for Tactical MIMO
- Model-Driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information
- Deep Augmented Music Algorithm for Data-Driven Doa Estimation
- OFDM-Guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels
- Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19
- Data-Driven Kalman-Based Velocity Estimation for Autonomous Racing
- Unsupervised Learned Kalman Filtering
- Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning
- Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
- RTSNet: Deep Learning Aided Kalman Smoothing
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