Ashkan Panahi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Topics

Dictionary Learning

Compressive Sensing

Subspace Clustering

Top Venues

IEEE Trans. Image Process.

Publications

Mehdi Sattari, Hao Guo, Deniz Gündüz, Ashkan Panahi, Tommy Svensson
Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach. CoRR (2024)
Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson
Sharing Pattern Submodels for Prediction with Missing Values. AAAI (2023)
David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. AISTATS (2023)
Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. ICML (2023)
Siddharth Roheda, Ashkan Panahi, Hamid Krim
Fast Optimal Transport for Latent Domain Adaptation. ICIP (2023)
David Bosch, Ashkan Panahi, Babak Hassibi
Precise Asymptotic Analysis of Deep Random Feature Models. COLT (2023)
David Bosch, Ashkan Panahi, Babak Hassibi
Precise Asymptotic Analysis of Deep Random Feature Models. CoRR (2023)
Fengyu Zhang, Ashkan Panahi, Guangjun Gao
FsaNet: Frequency Self-Attention for Semantic Segmentation. IEEE Trans. Image Process. 32 (2023)
Carlos Natalino, Nasser Mohammadiha, Ashkan Panahi
Machine-Learning-as-a-Service for Optical Network Automation. OFC (2023)
Siddharth Roheda, Ashkan Panahi, Hamid Krim
Fast OT for Latent Domain Adaptation. CoRR (2022)
Firooz Shahriari-Mehr, Ashkan Panahi
Decentralized Constrained Optimization, Double Averaging and Gradient Projection. CoRR (2022)
David Bosch, Ashkan Panahi, Ayça Özcelikkale, Devdatt P. Dubhash
Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. CoRR (2022)
Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
Analysis of Knowledge Transfer in Kernel Regime. CIKM (2022)
Fengyu Zhang, Ashkan Panahi, Guangjun Gao
FsaNet: Frequency Self-attention for Semantic Segmentation. CoRR (2022)
Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi
Decentralized Constrained Optimization: Double Averaging and Gradient Projection. CoRR (2021)
Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi
Decentralized Constrained Optimization: Double Averaging and Gradient Projection. CDC (2021)
Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. 812 (2020)
Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. CoRR (2020)
Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. CoRR (2020)
Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
Community Detection and Improved Detectability in Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai
Deep Dictionary Learning: A PARametric NETwork Approach. IEEE Trans. Image Process. 28 (10) (2019)
Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Analysis Dictionary Learning: an Efficient and Discriminative Solution. ICASSP (2019)
Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
Community Detection and Improved Detectability in Multiplex Networks. CoRR (2019)
Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Analysis Dictionary Learning Based Classification: Structure for Robustness. IEEE Trans. Image Process. 28 (12) (2019)
Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim
Sparse Generative Adversarial Network. ICCV Workshops (2019)
Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Analysis Dictionary Learning: An Efficient and Discriminative Solution. CoRR (2019)
Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith
Deep Adversarial Belief Networks. CoRR (2019)
Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim
Nonlinear Multi-scale Super-resolution Using Deep Learning. ICASSP (2019)
Wen Tang, Ashkan Panahi, Hamid Krim
Joint Concept Matching based Learning for Zero-Shot Recognition. CoRR (2019)
Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi
Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. CoRR (2019)
Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim
Sparse Generative Adversarial Network. CoRR (2019)
Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai
Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. WACV (2018)
Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Analysis Dictionary Learning based Classification: Structure for Robustness. CoRR (2018)
Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes, John K. Mattingly
Information Subspace-Based Fusion for Vehicle Classification. EUSIPCO (2018)
Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim
Robust Subspace Clustering for Radar Detection. EUSIPCO (2018)
Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai
Deep Dictionary Learning: A PARametric NETwork Approach. CoRR (2018)
Xiao Bian, Ashkan Panahi, Hamid Krim
Bi-sparsity pursuit: A paradigm for robust subspace recovery. Signal Process. 152 (2018)
Ashkan Panahi, Hamid Krim, Liyi Dai
Demystifying Deep Learning: A Geometric Approach to Iterative Projections. CoRR (2018)
Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Structured Analysis Dictionary Learning for Image Classification. CoRR (2018)
Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Structured Analysis Dictionary Learning for Image Classification. ICASSP (2018)
Ashkan Panahi, Hamid Krim, Liyi Dai
Demystifying Deep Learning: a Geometric Approach to Iterative Projections. ICASSP (2018)
Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
Fusion of Community Structures in Multiplex Networks by Label Constraints. EUSIPCO (2018)
Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML (2017)
Ashkan Panahi, Babak Hassibi
A Universal Analysis of Large-Scale Regularized Least Squares Solutions. NIPS (2017)
Ashkan Panahi, Mats Viberg
Performance Analysis of Sparsity-Based Parameter Estimation. IEEE Trans. Signal Process. 65 (24) (2017)
Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi
-LASSO. CoRR (2015)
Ashkan Panahi, Marie Strom, Mats Viberg
Wideband waveform design for robust target detection. ICASSP (2015)
Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi
Asymptotically exact error analysis for the generalized equation-LASSO. ISIT (2015)
Ashkan Panahi, Mats Viberg, Babak Hassibi
A numerical implementation of gridless compressed sensing. ICASSP (2015)
Christos Thrampoulidis, Ashkan Panahi, Daniel Guo, Babak Hassibi
Precise error analysis of the LASSO. ICASSP (2015)
Ashkan Panahi, Marie Ström, Mats Viberg
Basis pursuit over continuum applied to range-Doppler estimation problem. SAM (2014)
Ashkan Panahi, Marie Ström, Mats Viberg
Wideband Waveform Design for Robust Target Detection. CoRR (2014)
Marie Ström, Ashkan Panahi, Mats Viberg, Kent Falk
Wideband waveform design for clutter suppression. SAM (2014)
M. R. Avendi, Kasra Haghighi, Ashkan Panahi, Mats Viberg
A NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio. CoRR (2014)
Ashkan Panahi, Mats Viberg
Gridless compressive sensing. ICASSP (2014)
Amin Movahed, Ashkan Panahi, Mark C. Reed
Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements. ICASSP (2014)
Mohammad Reza Khanzadi, Dan Kuylenstierna, Ashkan Panahi, Thomas Eriksson, Herbert Zirath
Calculation of the Performance of Communication Systems From Measured Oscillator Phase Noise. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2014)
Ashkan Panahi, Mats Viberg
A novel method of DOA tracking by penalized least squares. CAMSAP (2013)
Christoph F. Mecklenbräuker, Peter Gerstoft, Ashkan Panahi, Mats Viberg
Sequential Bayesian Sparse Signal Reconstruction Using Array Data. IEEE Trans. Signal Process. 61 (24) (2013)
Ashkan Panahi, Mats Viberg
Fast Candidate Points Selection in the LASSO Path. IEEE Signal Process. Lett. 19 (2) (2012)
Amin Movahed, Ashkan Panahi, Giuseppe Durisi
A robust RFPI-based 1-bit compressive sensing reconstruction algorithm. ITW (2012)
Ashkan Panahi, Mats Viberg
A robust ℓ1 penalized DOA estimator. ACSCC (2012)
Ashkan Panahi, Mats Viberg
A robust l_1 penalized DOA estimator CoRR (2012)
Ashkan Panahi, Mats Viberg
On the resolution of The LASSO-based DOA estimation method. WSA (2011)
Ashkan Panahi, Mats Viberg
Fast LASSO based DOA tracking. CAMSAP (2011)
Ashkan Panahi, Mats Viberg
Maximum a posteriori based regularization parameter selection. ICASSP (2011)