Ashkan Panahi
Showing 50 publications
AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
Machine-Learning-as-a-Service for Optical Network Automation
Machine-Learning-as-a-Service for Optical Networks: Use Cases and Benefits
Sharing Pattern Submodels for Prediction with Missing Values
Fast Optimal Transport for Latent Domain Adaptation
Precise Asymptotic Analysis of Deep Random Feature Models
FsaNet: Frequency Self-attention for Semantic Segmentation
Analysis of Knowledge Transfer in Kernel Regime
Dynamic graph learning: A structure-driven approach
Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit
Decentralized Constrained Optimization: Double Averaging and Gradient Projection
Community Detection and Improved Detectability in Multiplex Networks
Accelerated proximal incremental algorithm schemes for non-strongly convex functions
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion
Analysis Dictionary Learning: an Efficient and Discriminative Solution
Nonlinear Multi-scale Super-resolution Using Deep Learning
Analysis Dictionary Learning Based Classification: Structure for Robustness
Deep Dictionary Learning: A PARametric NETwork Approach
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
Wideband waveform design for robust target detection
Precise error analysis of the LASSO
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
Sequential Bayesian Sparse Signal Reconstruction Using Array Data
A novel method of DOA tracking by penalized least squares
Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis
A robust {RFPI}-based 1-bit compressive sensing reconstruction algorithm
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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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