Ashkan Panahi

According to our database, Ashkan Panahi authored at least 55 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach.

Mehdi Sattari, Hao Guo, Deniz Gündüz, Ashkan Panahi, Tommy Svensson

CoRR, 2024

2023

FsaNet: Frequency Self-Attention for Semantic Segmentation.

Fengyu Zhang, Ashkan Panahi, Guangjun Gao

IEEE Trans. Image Process., 2023

Machine-Learning-as-a-Service for Optical Network Automation.

Carlos Natalino, Nasser Mohammadiha, Ashkan Panahi

Proceedings of the Optical Fiber Communications Conference and Exhibition, 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

Proceedings of the International Conference on Machine Learning, 2023

Fast Optimal Transport for Latent Domain Adaptation.

Siddharth Roheda, Ashkan Panahi, Hamid Krim

Proceedings of the IEEE International Conference on Image Processing, 2023

Precise Asymptotic Analysis of Deep Random Feature Models.

David Bosch, Ashkan Panahi, Babak Hassibi

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves.

David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Sharing Pattern Submodels for Prediction with Missing Values.

Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Decentralized Constrained Optimization, Double Averaging and Gradient Projection.

Firooz Shahriari-Mehr, Ashkan Panahi

CoRR, 2022

Fast OT for Latent Domain Adaptation.

Siddharth Roheda, Ashkan Panahi, Hamid Krim

CoRR, 2022

Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization.

David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhash

CoRR, 2022

Analysis of Knowledge Transfer in Kernel Regime.

Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Decentralized Constrained Optimization: Double Averaging and Gradient Projection.

Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Community Detection and Improved Detectability in Multiplex Networks.

Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai

IEEE Trans. Netw. Sci. Eng., 2020

Accelerated proximal incremental algorithm schemes for non-strongly convex functions.

Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi

Theor. Comput. Sci., 2020

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion.

Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes

CoRR, 2020

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

2019

Analysis Dictionary Learning Based Classification: Structure for Robustness.

Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

IEEE Trans. Image Process., 2019

Deep Dictionary Learning: A PARametric NETwork Approach.

Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai

IEEE Trans. Image Process., 2019

Deep Adversarial Belief Networks.

Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith

CoRR, 2019

Joint Concept Matching based Learning for Zero-Shot Recognition.

Wen Tang, Ashkan Panahi, Hamid Krim

CoRR, 2019

Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer.

Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi

CoRR, 2019

Sparse Generative Adversarial Network.

Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Nonlinear Multi-scale Super-resolution Using Deep Learning.

Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim

Proceedings of the IEEE International Conference on Acoustics, 2019

Analysis Dictionary Learning: an Efficient and Discriminative Solution.

Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Bi-sparsity pursuit: A paradigm for robust subspace recovery.

Xiao Bian, Ashkan Panahi, Hamid Krim

Signal Process., 2018

Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm.

Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Structured Analysis Dictionary Learning for Image Classification.

Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Demystifying Deep Learning: a Geometric Approach to Iterative Projections.

Ashkan Panahi, Hamid Krim, Liyi Dai

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Fusion of Community Structures in Multiplex Networks by Label Constraints.

Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai

Proceedings of the 26th European Signal Processing Conference, 2018

Information Subspace-Based Fusion for Vehicle Classification.

Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes, John K. Mattingly

Proceedings of the 26th European Signal Processing Conference, 2018

Robust Subspace Clustering for Radar Detection.

Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Performance Analysis of Sparsity-Based Parameter Estimation.

Ashkan Panahi, Mats Viberg

IEEE Trans. Signal Process., 2017

A Universal Analysis of Large-Scale Regularized Least Squares Solutions.

Ashkan Panahi, Babak Hassibi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery.

Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

Asymptotically Exact Error Analysis for the Generalized ℓ₂²-LASSO.

Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi

CoRR, 2015

Asymptotically exact error analysis for the generalized equation-LASSO.

Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi

Proceedings of the IEEE International Symposium on Information Theory, 2015

Precise error analysis of the LASSO.

Christos Thrampoulidis, Ashkan Panahi, Daniel Guo, Babak Hassibi

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A numerical implementation of gridless compressed sensing.

Ashkan Panahi, Mats Viberg, Babak Hassibi

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Wideband waveform design for robust target detection.

Ashkan Panahi, Marie Strom, Mats Viberg

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

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

A NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio.

M. R. Avendi, Kasra Haghighi, Ashkan Panahi, Mats Viberg

CoRR, 2014

Wideband waveform design for clutter suppression.

Marie Ström, Ashkan Panahi, Mats Viberg, Kent Falk

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Basis pursuit over continuum applied to range-Doppler estimation problem.

Ashkan Panahi, Marie Ström, Mats Viberg

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Gridless compressive sensing.

Ashkan Panahi, Mats Viberg

Proceedings of the IEEE International Conference on Acoustics, 2014

Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements.

Amin Movahed, Ashkan Panahi, Mark C. Reed

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Sequential Bayesian Sparse Signal Reconstruction Using Array Data.

Christoph F. Mecklenbräuker, Peter Gerstoft, Ashkan Panahi, Mats Viberg

IEEE Trans. Signal Process., 2013

A novel method of DOA tracking by penalized least squares.

Ashkan Panahi, Mats Viberg

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Fast Candidate Points Selection in the LASSO Path.

Ashkan Panahi, Mats Viberg

IEEE Signal Process. Lett., 2012

A robust l_1 penalized DOA estimator

Ashkan Panahi, Mats Viberg

CoRR, 2012

A robust RFPI-based 1-bit compressive sensing reconstruction algorithm.

Amin Movahed, Ashkan Panahi, Giuseppe Durisi

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

A robust ℓ1 penalized DOA estimator.

Ashkan Panahi, Mats Viberg

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

On the resolution of The LASSO-based DOA estimation method.

Ashkan Panahi, Mats Viberg

Proceedings of the 2011 International ITG Workshop on Smart Antennas, 2011

Maximum a posteriori based regularization parameter selection.

Ashkan Panahi, Mats Viberg

Proceedings of the IEEE International Conference on Acoustics, 2011

Fast LASSO based DOA tracking.

Ashkan Panahi, Mats Viberg

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011