Ashkan Panahi
Visar 52 publikationer
AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]
Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach
Sharing Pattern Submodels for Prediction with Missing Values
Machine-Learning-as-a-Service for Optical Networks: Use Cases and Benefits
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
Machine-Learning-as-a-Service for Optical Network Automation
FsaNet: Frequency Self-attention for Semantic Segmentation
Precise Asymptotic Analysis of Deep Random Feature Models
Fast Optimal Transport for Latent Domain Adaptation
Analysis of Knowledge Transfer in Kernel Regime
Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit
Decentralized Constrained Optimization: Double Averaging and Gradient Projection
Dynamic graph learning: A structure-driven approach
Community Detection and Improved Detectability in Multiplex Networks
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion
Accelerated proximal incremental algorithm schemes for non-strongly convex functions
Analysis Dictionary Learning: an Efficient and Discriminative Solution
Nonlinear Multi-scale Super-resolution Using Deep Learning
Deep Dictionary Learning: A PARametric NETwork Approach
Analysis Dictionary Learning Based Classification: Structure for Robustness
Fusion of Community Structures in Multiplex Networks by Label Constraints
Bi-sparsity pursuit: A paradigm for robust subspace recovery
Demystifying Deep Learning: a Geometric Approach to Iterative Projections
Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
Performance Analysis of Sparsity-Based Parameter Estimation
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Precise error analysis of the LASSO
Wideband waveform design for robust target detection
A numerical implementation of gridless compressed sensing
Asymptotically exact error analysis for the generalized equation-LASSO
Asymptotically Exact Error Analysis for the Generalized l(2)(2)-LASSO
Calculation of the Performance of Communication Systems from Measured Oscillator Phase Noise
Wideband waveform design for clutter suppression
Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements
Basis pursuit over continuum applied to range-Doppler estimation problem
A novel method of DOA tracking by penalized least squares
Sequential Bayesian Sparse Signal Reconstruction Using Array Data
A robust {RFPI}-based 1-bit compressive sensing reconstruction algorithm
Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis
Fast Candidate Points Selection in the LASSO Path
A robust ℓ1 penalized DOA estimator
A model-based analysis of phase jitter in RF oscillators
Maximum a Posteriori Based Regularization Parameter Selection
A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio
On the resolution of the LASSO-based DOA estimation method
A Novel Cognitive Modulation Method Considering the Performance of Primary User
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Visar 3 forskningsprojekt
Effektiv datarepresentation och maskininlärning över nästa generationsnätverk
Forskning om prestandan i maskininlärning under beräkningsöverväganden
Parameterestimering med glesa modeller