Ashkan Panahi

Associate Professor at Data Science and AI

Source: chalmers.se
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Showing 51 publications

2024

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

Mehdi Sattari, Hao Guo, Deniz Gündüz et al
IEEE Transactions on Machine Learning in Communications and Networking. Vol. 2
Journal article
2024

AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]

Carlos Natalino Da Silva, Ashkan Panahi, Nasser Mohammadiha et al
Journal of Optical Communications and Networking. Vol. 16 (2), p. A169-A179
Journal article
2023

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework

Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani et al
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Vol. 202, p. 28549-28577
Paper in proceeding
2023

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

Carlos Natalino Da Silva, Nasser Mohammadiha, Ashkan Panahi
Optical Fiber Communication Conference and Exhibition
Paper in proceeding
2023

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

David Bosch, Ashkan Panahi, Ayca Ozcelikkale et al
Proceedings of Machine Learning Research. Vol. 206, p. 11371-11414
Paper in proceeding
2023

Machine-Learning-as-a-Service for Optical Networks: Use Cases and Benefits

Carlos Natalino Da Silva, Nasser Mohammadiha, Ashkan Panahi et al
Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023
Other conference contribution
2023

Sharing Pattern Submodels for Prediction with Missing Values

Lena Stempfle, Ashkan Panahi, Fredrik Johansson
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37 (8), p. 9882-9890
Paper in proceeding
2023

Fast Optimal Transport for Latent Domain Adaptation

Siddharth Roheda, Ashkan Panahi, Hamid Krim
Proceedings - International Conference on Image Processing, ICIP, p. 1810-1814
Paper in proceeding
2023

Precise Asymptotic Analysis of Deep Random Feature Models

David Bosch, Ashkan Panahi, Babak Hassibi
Proceedings of Machine Learning Research. Vol. 195, p. 4132-4179
Paper in proceeding
2023

FsaNet: Frequency Self-attention for Semantic Segmentation

Fengyu Zhang, Ashkan Panahi, Guangjun Gao
IEEE Transactions on Image Processing. Vol. 32, p. 4757-4772
Journal article
2022

Analysis of Knowledge Transfer in Kernel Regime

Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya et al
International Conference on Information and Knowledge Management, Proceedings, p. 1615-1624
Paper in proceeding
2021

Dynamic graph learning: A structure-driven approach

Bo Jiang, Yuming Huang, Ashkan Panahi et al
Mathematics. Vol. 9 (2), p. 1-20
Journal article
2021

Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit

David Bosch, Ashkan Panahi, Ayca Ozcelikkale
Thirty-eighth International Conference on Machine Learning, ICML 2021
Paper in proceeding
2021

Decentralized Constrained Optimization: Double Averaging and Gradient Projection

Firooz Shahriari Mehr, David Bosch, Ashkan Panahi
Proceedings of the IEEE Conference on Decision and Control. Vol. 2021-December, p. 2400-2406
Paper in proceeding
2020

Community Detection and Improved Detectability in Multiplex Networks

Yuming Huang, Ashkan Panahi, Hamid Krim et al
IEEE Transactions on Network Science and Engineering. Vol. 7 (3), p. 1697-1709
Journal article
2020

Accelerated proximal incremental algorithm schemes for non-strongly convex functions

Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt Dubhashi
Theoretical Computer Science. Vol. 812, p. 203-213
Journal article
2020

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

Sally Ghanem, Ashkan Panahi, Hamid Krim et al
IEEE Sensors Journal. Vol. 20 (20), p. 12307-12316
Journal article
2019

Analysis Dictionary Learning: an Efficient and Discriminative Solution

Wen Tang, Ashkan Panahi, Hamid Krim et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Paper in proceeding
2019

Nonlinear Multi-scale Super-resolution Using Deep Learning

Kenneth Tran, Ashkan Panahi, Aniruddha Adiga et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Journal article
2019

Analysis Dictionary Learning Based Classification: Structure for Robustness

Wen Tang, Ashkan Panahi, Hamid Krim et al
IEEE Transactions on Image Processing. Vol. 28 (12), p. 6035-6046
Journal article
2019

Deep Dictionary Learning: A PARametric NETwork Approach

Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim et al
IEEE Transactions on Image Processing. Vol. 28 (10), p. 4790-4802
Journal article
2018

Fusion of Community Structures in Multiplex Networks by Label Constraints

Yuming Huang, Ashkan Panahi, Hamid Krim et al
26th European Signal Processing Conference (EUSIPCO), p. 887-891
Paper in proceeding
2018

Bi-sparsity pursuit: A paradigm for robust subspace recovery

Xiao Bian, Ashkan Panahi, Hamid Krim
Signal Processing. Vol. 152, p. 148-152
Journal article
2018

Demystifying Deep Learning: a Geometric Approach to Iterative Projections

Ashkan Panahi, Hamid Krim, Liyi Dai
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Paper in proceeding
2018

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

Ashkan Panahi, Xiao Bian, Hamid Krim et al
IEEE Winter Conference on Applications of Computer Vision, p. 1302-1311
Paper in proceeding
2017

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

Ashkan Panahi, Devdatt Dubhashi, Fredrik Johansson et al
Proceedings of Machine Learning Research. Vol. 6, p. 4247-4260
Paper in proceeding
2017

Performance Analysis of Sparsity-Based Parameter Estimation

Ashkan Panahi, Mats Viberg
IEEE Transactions on Signal Processing. Vol. 65 (24), p. 6478-6488
Journal article
2017

A Universal Analysis of Large-Scale Regularized Least Squares Solutions

Ashkan Panahi, Babak Hassibi
Advances in Neural Information Processing Systems, p. 3382-3391
Paper in proceeding
2015

Wideband waveform design for robust target detection

Ashkan Panahi, Marie Ström, Mats Viberg
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August, p. 3926-3930
Paper in proceeding
2015

Precise error analysis of the LASSO

C. Thrampoulidis, Ashkan Panahi, D. Guo et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August, p. 3467-3471
Paper in proceeding
2015

A numerical implementation of gridless compressed sensing

Ashkan Panahi, Mats Viberg, B. Hassibi
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August, p. 3342-3346
Paper in proceeding
2015

Asymptotically exact error analysis for the generalized equation-LASSO

C. Thrampoulidis, Ashkan Panahi, B. Hassibi
IEEE International Symposium on Information Theory - Proceedings. Vol. 2015-June, p. 2021-2025
Paper in proceeding
2015

Asymptotically Exact Error Analysis for the Generalized l(2)(2)-LASSO

C. Thrampoulidis, Ashkan Panahi, B. Hassibi
2015 IEEE International Symposium on Information Theory (ISIT), Hong Kong, CHINA, JUN 14-19, 2015, p. 2021-2025
Paper in proceeding
2014

Calculation of the Performance of Communication Systems from Measured Oscillator Phase Noise

M Reza Khanzadi, Dan Kuylenstierna, Ashkan Panahi et al
IEEE Transactions on Circuits and Systems I: Regular Papers. Vol. 61 (5), p. 1553-1565
Journal article
2014

Wideband waveform design for clutter suppression

Marie Ström, Ashkan Panahi, Mats Viberg et al
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (Art. no. 6882399), p. 297-300
Paper in proceeding
2014

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

A. Movahed, Ashkan Panahi, Mark C. Reed
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 6454-6458
Paper in proceeding
2014

Basis pursuit over continuum applied to range-Doppler estimation problem

Ashkan Panahi, Marie Ström, Mats Viberg
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, p. 381-384
Paper in proceeding
2014

Gridless compressive sensing

Ashkan Panahi, Mats Viberg
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 3385-3389
Paper in proceeding
2013

Sequential Bayesian Sparse Signal Reconstruction Using Array Data

Christoph F. Mecklenbräuker, P. Gerstoft, Ashkan Panahi et al
IEEE Transactions on Signal Processing. Vol. 61 (24), p. 6344-6354
Journal article
2013

A novel method of DOA tracking by penalized least squares

Ashkan Panahi, Mats Viberg
2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013, p. 61-64
Paper in proceeding
2012

A robust {RFPI}-based 1-bit compressive sensing reconstruction algorithm

A. Movahed, Ashkan Panahi, Giuseppe Durisi
IEEE Information Theory Workshop (ITW), Lausanne, 3-7 September 2012, p. 567-571
Paper in proceeding
2012

Fast Candidate Points Selection in the LASSO Path

Ashkan Panahi, Mats Viberg
IEEE Signal Processing Letters. Vol. 19 (2), p. 79-82
Journal article
2012

A robust ℓ1 penalized DOA estimator

Ashkan Panahi, Mats Viberg
Conference Record - Asilomar Conference on Signals, Systems and Computers, p. 2013-2017
Paper in proceeding
2012

A model-based analysis of phase jitter in RF oscillators

M Reza Khanzadi, Ashkan Panahi, Dan Kuylenstierna et al
2012 IEEE International Frequency Control Symposium, IFCS 2012, Proceedings, p. 508-511
Paper in proceeding
2011

Maximum a Posteriori Based Regularization Parameter Selection

Ashkan Panahi, Mats Viberg
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 2452-2455
Paper in proceeding
2011

Fast LASSO based DOA tracking

Ashkan Panahi, Mats Viberg
4 th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011, p. 397-400
Paper in proceeding
2011

A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio

Moslem Rashidi Avendi, Kasra Haghighi, Ashkan Panahi et al
Fifth IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks 2011(DySPAN 2011), p. 545-551
Paper in proceeding
2011

On the resolution of the LASSO-based DOA estimation method

Ashkan Panahi, Mats Viberg
Proceedings - 2011 International ITG Workshop on Smart Antennas, WSA 2011
Paper in proceeding
2010

A Novel Cognitive Modulation Method Considering the Performance of Primary User

M Reza Khanzadi, Kasra Haghighi, Ashkan Panahi et al
Wireless Advanced (WiAD), 2010 6th Conference on, p. 1 - 6
Paper in proceeding

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Showing 3 research projects

2021–

Efficient Data Representation and Machine Learning over Next Generation Networks

Ashkan Panahi Data Science
Wallenberg AI, Autonomous Systems and Software Program

2 publications exist
2020–

Research on the performance of machine learning under computational considerations

Ashkan Panahi Data Science
Chalmers AI Research Centre (CHAIR)

2012–2014

Parameter estimation based on sparse modeling

Mats Viberg Signal Processing
Ashkan Panahi Signal Processing
Lennart Svensson Signal Processing
Swedish Research Council (VR)

There might be more projects where Ashkan Panahi participates, but you have to be logged in as a Chalmers employee to see them.