Fast LASSO based DOA tracking. - Ashkan Panahi; Mats Viberg (CAMSAP, 2011)

Maximum a posteriori based regularization parameter selection. - Ashkan Panahi; Mats Viberg (ICASSP, 2011)

On the resolution of The LASSO-based DOA estimation method. - Ashkan Panahi; Mats Viberg (WSA, 2011)

A robust ℓ1 penalized DOA estimator. - Ashkan Panahi; Mats Viberg (ACSCC, 2012)

A robust RFPI-based 1-bit compressive sensing reconstruction algorithm. - Amin Movahed; Ashkan Panahi; Giuseppe Durisi (ITW, 2012)

A robust l_1 penalized DOA estimator - Ashkan Panahi; Mats Viberg (CoRR, 2012)

Fast Candidate Points Selection in the LASSO Path. - Ashkan Panahi; Mats Viberg (IEEE Signal Process. Lett., 2012)

A novel method of DOA tracking by penalized least squares. - Ashkan Panahi; Mats Viberg (CAMSAP, 2013)

Sequential Bayesian Sparse Signal Reconstruction Using Array Data. - Christoph F. Mecklenbräuker; Peter Gerstoft; Ashkan Panahi; Mats Viberg (IEEE Trans. Signal Process., 2013)

Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements. - Amin Movahed; Ashkan Panahi; Mark C. Reed (ICASSP, 2014)

Gridless compressive sensing. - Ashkan Panahi; Mats Viberg (ICASSP, 2014)

Basis pursuit over continuum applied to range-Doppler estimation problem. - Ashkan Panahi; Marie Ström; Mats Viberg (SAM, 2014)

Wideband waveform design for clutter suppression. - Marie Ström; Ashkan Panahi; Mats Viberg; Kent Falk (SAM, 2014)

A NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio. - M. R. Avendi; Kasra Haghighi; Ashkan Panahi; Mats Viberg (CoRR, 2014)

Calculation of the Performance of Communication Systems From Measured Oscillator Phase Noise. - Mohammad Reza Khanzadi; Dan Kuylenstierna; Ashkan Panahi; Thomas Eriksson; Herbert Zirath (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Wideband waveform design for robust target detection. - Ashkan Panahi; Marie Strom; Mats Viberg (ICASSP, 2015)

A numerical implementation of gridless compressed sensing. - Ashkan Panahi; Mats Viberg; Babak Hassibi (ICASSP, 2015)

Precise error analysis of the LASSO. - Christos Thrampoulidis; Ashkan Panahi; Daniel Guo; Babak Hassibi (ICASSP, 2015)

Asymptotically exact error analysis for the generalized equation-LASSO. - Christos Thrampoulidis; Ashkan Panahi; Babak Hassibi (ISIT, 2015)

Asymptotically Exact Error Analysis for the Generalized ℓ22-LASSO. - Christos Thrampoulidis; Ashkan Panahi; Babak Hassibi (CoRR, 2015)

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. - Ashkan Panahi; Devdatt P. Dubhashi; Fredrik D. Johansson; Chiranjib Bhattacharyya (ICML, 2017)

A Universal Analysis of Large-Scale Regularized Least Squares Solutions. - Ashkan Panahi; Babak Hassibi (NIPS, 2017)

Performance Analysis of Sparsity-Based Parameter Estimation. - Ashkan Panahi; Mats Viberg (IEEE Trans. Signal Process., 2017)

Robust Subspace Clustering for Radar Detection. - Arnaud Breloy; Mohammed Nabil El Korso; Ashkan Panahi; Hamid Krim (EUSIPCO, 2018)

Information Subspace-Based Fusion for Vehicle Classification. - Sally Ghanem; Ashkan Panahi; Hamid Krim; Ryan A. Kerekes; John K. Mattingly (EUSIPCO, 2018)

Fusion of Community Structures in Multiplex Networks by Label Constraints. - Yuming Huang; Ashkan Panahi; Hamid Krim; Liyi Dai (EUSIPCO, 2018)

Demystifying Deep Learning: a Geometric Approach to Iterative Projections. - Ashkan Panahi; Hamid Krim; Liyi Dai (ICASSP, 2018)

Structured Analysis Dictionary Learning for Image Classification. - Wen Tang; Ashkan Panahi; Hamid Krim; Liyi Dai (ICASSP, 2018)

Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. - Ashkan Panahi; Xiao Bian; Hamid Krim; Liyi Dai (WACV, 2018)

Bi-sparsity pursuit: A paradigm for robust subspace recovery. - Xiao Bian; Ashkan Panahi; Hamid Krim (Signal Process., 2018)

Analysis Dictionary Learning: an Efficient and Discriminative Solution. - Wen Tang; Ashkan Panahi; Hamid Krim; Liyi Dai (ICASSP, 2019)

Nonlinear Multi-scale Super-resolution Using Deep Learning. - Kenneth Tran; Ashkan Panahi; Aniruddha Adiga; Wesam A. Sakla; Hamid Krim (ICASSP, 2019)

Sparse Generative Adversarial Network. - Shahin Mahdizadehaghdam; Ashkan Panahi; Hamid Krim (ICCV Workshops, 2019)

Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. - Ashkan Panahi; Erik Thiel; Morteza Haghir Cheraghani; Devdatt P. Dubhashi (CoRR, 2019)

Joint Concept Matching based Learning for Zero-Shot Recognition. - Wen Tang; Ashkan Panahi; Hamid Krim (CoRR, 2019)

Deep Adversarial Belief Networks. - Yuming Huang; Ashkan Panahi; Hamid Krim; Yiyi Yu; Spencer L. Smith (CoRR, 2019)

Deep Dictionary Learning: A PARametric NETwork Approach. - Shahin Mahdizadehaghdam; Ashkan Panahi; Hamid Krim; Liyi Dai (IEEE Trans. Image Process., 2019)

Analysis Dictionary Learning Based Classification: Structure for Robustness. - Wen Tang; Ashkan Panahi; Hamid Krim; Liyi Dai (IEEE Trans. Image Process., 2019)

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. - Arman Rahbar; Ashkan Panahi; Chiranjib Bhattacharyya; Devdatt P. Dubhashi; Morteza Haghir Chehreghani (CoRR, 2020)

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. - Sally Ghanem; Ashkan Panahi; Hamid Krim; Ryan A. Kerekes (CoRR, 2020)

Accelerated proximal incremental algorithm schemes for non-strongly convex functions. - Ashkan Panahi; Morteza Haghir Chehreghani; Devdatt P. Dubhashi (Theor. Comput. Sci., 2020)

Community Detection and Improved Detectability in Multiplex Networks. - Yuming Huang; Ashkan Panahi; Hamid Krim; Liyi Dai (IEEE Trans. Netw. Sci. Eng., 2020)

Decentralized Constrained Optimization: Double Averaging and Gradient Projection. - Firooz Shahriari-Mehr; David Bosch 002; Ashkan Panahi (CDC, 2021)

Analysis of Knowledge Transfer in Kernel Regime. - Ashkan Panahi; Arman Rahbar; Chiranjib Bhattacharyya; Devdatt P. Dubhashi; Morteza Haghir Chehreghani (CIKM, 2022)

Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. - David Bosch 002; Ashkan Panahi; Ayça Özçelikkale; Devdatt P. Dubhashi (CoRR, 2022)

Fast OT for Latent Domain Adaptation. - Siddharth Roheda; Ashkan Panahi; Hamid Krim (CoRR, 2022)

Decentralized Constrained Optimization, Double Averaging and Gradient Projection. - Firooz Shahriari-Mehr; Ashkan Panahi (CoRR, 2022)

Sharing Pattern Submodels for Prediction with Missing Values. - Lena Stempfle; Ashkan Panahi; Fredrik D. Johansson (AAAI, 2023)

Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. - David Bosch 002; Ashkan Panahi; Ayça Özçelikkale; Devdatt P. Dubhashi (AISTATS, 2023)

Precise Asymptotic Analysis of Deep Random Feature Models. - David Bosch 002; Ashkan Panahi; Babak Hassibi (COLT, 2023)

Fast Optimal Transport for Latent Domain Adaptation. - Siddharth Roheda; Ashkan Panahi; Hamid Krim (ICIP, 2023)

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. - Arman Rahbar; Ashkan Panahi; Morteza Haghir Chehreghani; Devdatt P. Dubhashi; Hamid Krim (ICML, 2023)

Machine-Learning-as-a-Service for Optical Network Automation. - Carlos Natalino; Nasser Mohammadiha; Ashkan Panahi (OFC, 2023)

FsaNet: Frequency Self-Attention for Semantic Segmentation. - Fengyu Zhang; Ashkan Panahi; Guangjun Gao (IEEE Trans. Image Process., 2023)

Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach. - Mehdi Sattari; Hao Guo 007; Deniz Gündüz; Ashkan Panahi; Tommy Svensson (CoRR, 2024)

AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]. - Carlos Natalino; Ashkan Panahi; Nasser Mohammadiha; Paolo Monti 001 (J. Opt. Commun. Netw., 2024)

A Novel Convex Gaussian Min Max Theorem for Repeated Features. - David Bosch 002; Ashkan Panahi (AISTATS, 2025)

Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs. - Firooz Shahriari-Mehr; Ashkan Panahi (AISTATS, 2025)

Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization. - Firooz Shahriari-Mehr; Ashkan Panahi (IEEE Trans. Autom. Control., 2025)