Ashkan Panahi
Showing 50 publications
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
Machine-Learning-as-a-Service for Optical Networks: Use Cases and Benefits
Precise Asymptotic Analysis of Deep Random Feature Models
Sharing pattern submodels for prediction with missing values
Sharing Pattern Submodels for Prediction with Missing Values
Analysis of Knowledge Transfer in Kernel Regime
Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit
Dynamic graph learning: A structure-driven approach
Decentralized Constrained Optimization: Double Averaging and Gradient Projection
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 Based Classification: Structure for Robustness
Analysis Dictionary Learning: an Efficient and Discriminative Solution
Nonlinear Multi-scale Super-resolution Using Deep Learning
Deep Dictionary Learning: A PARametric NETwork Approach
Demystifying Deep Learning: a Geometric Approach to Iterative Projections
Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm
Fusion of Community Structures in Multiplex Networks by Label Constraints
Bi-sparsity pursuit: A paradigm for robust subspace recovery
Performance Analysis of Sparsity-Based Parameter Estimation
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
Wideband waveform design for robust target detection
Asymptotically exact error analysis for the generalized equation-LASSO
Precise error analysis of the LASSO
Asymptotically Exact Error Analysis for the Generalized l(2)(2)-LASSO
A numerical implementation of gridless compressed sensing
Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements
Calculation of the Performance of Communication Systems from Measured Oscillator Phase Noise
Basis pursuit over continuum applied to range-Doppler estimation problem
Wideband waveform design for clutter suppression
Sequential Bayesian Sparse Signal Reconstruction Using Array Data
A novel method of DOA tracking by penalized least squares
A model-based analysis of phase jitter in RF oscillators
Fast Candidate Points Selection in the LASSO Path
A robust ℓ1 penalized DOA estimator
A robust {RFPI}-based 1-bit compressive sensing reconstruction algorithm
Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis
A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio
On the resolution of the LASSO-based DOA estimation method
Maximum a Posteriori Based Regularization Parameter Selection
A Novel Cognitive Modulation Method Considering the Performance of Primary User
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Showing 3 research projects
Efficient Data Representation and Machine Learning over Next Generation Networks
Research on the performance of machine learning under computational considerations
Parameter estimation based on sparse modeling