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Ashkan Panahi
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2020 – today
- 2024
- [i23]Mehdi Sattari, Hao Guo, Deniz Gündüz, Ashkan Panahi, Tommy Svensson:
Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach. CoRR abs/2402.03886 (2024) - 2023
- [j10]Fengyu Zhang
, Ashkan Panahi, Guangjun Gao
FsaNet: Frequency Self-Attention for Semantic Segmentation. IEEE Trans. Image Process. 32: 4757-4772 (2023) - [c33]Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson:
Sharing Pattern Submodels for Prediction with Missing Values. AAAI 2023: 9882-9890 - [c32]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: 11371-11414 - [c31]David Bosch, Ashkan Panahi, Babak Hassibi:
Precise Asymptotic Analysis of Deep Random Feature Models. COLT 2023: 4132-4179 - [c30]Siddharth Roheda, Ashkan Panahi, Hamid Krim:
Fast Optimal Transport for Latent Domain Adaptation. ICIP 2023: 1810-1814 - [c29]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: 28549-28577 - [c28]Carlos Natalino, Nasser Mohammadiha, Ashkan Panahi:
Machine-Learning-as-a-Service for Optical Network Automation. OFC 2023: 1-3 - [i22]David Bosch, Ashkan Panahi, Babak Hassibi:
Precise Asymptotic Analysis of Deep Random Feature Models. CoRR abs/2302.06210 (2023) - 2022
- [c27]Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
Analysis of Knowledge Transfer in Kernel Regime. CIKM 2022: 1615-1624 - [i21]David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi:
Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. CoRR abs/2204.02678 (2022) - [i20]Siddharth Roheda, Ashkan Panahi, Hamid Krim:
Fast OT for Latent Domain Adaptation. CoRR abs/2210.00479 (2022) - [i19]Firooz Shahriari-Mehr, Ashkan Panahi:
Decentralized Constrained Optimization, Double Averaging and Gradient Projection. CoRR abs/2210.03232 (2022) - [i18]Fengyu Zhang, Ashkan Panahi, Guangjun Gao:
FsaNet: Frequency Self-attention for Semantic Segmentation. CoRR abs/2211.15595 (2022) - 2021
- [c26]Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi:
Decentralized Constrained Optimization: Double Averaging and Gradient Projection. CDC 2021: 2400-2406 - [i17]Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi:
Decentralized Constrained Optimization: Double Averaging and Gradient Projection. CoRR abs/2106.11408 (2021) - 2020
- [j9]Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi:
Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. 812: 203-213 (2020) - [j8]Yuming Huang
Community Detection and Improved Detectability in Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1697-1709 (2020) - [i16]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 abs/2003.13438 (2020) - [i15]Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes:
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. CoRR abs/2006.10657 (2020)
2010 – 2019
- 2019
- [j7]Shahin Mahdizadehaghdam
Deep Dictionary Learning: A PARametric NETwork Approach. IEEE Trans. Image Process. 28(10): 4790-4802 (2019) - [j6]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning Based Classification: Structure for Robustness. IEEE Trans. Image Process. 28(12): 6035-6046 (2019) - [c25]Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim:
Nonlinear Multi-scale Super-resolution Using Deep Learning. ICASSP 2019: 3182-3186 - [c24]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning: an Efficient and Discriminative Solution. ICASSP 2019: 3682-3686 - [c23]Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim:
Sparse Generative Adversarial Network. ICCV Workshops 2019: 3063-3071 - [i14]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning: An Efficient and Discriminative Solution. CoRR abs/1903.03058 (2019) - [i13]Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi:
Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. CoRR abs/1903.03850 (2019) - [i12]Wen Tang, Ashkan Panahi, Hamid Krim:
Joint Concept Matching based Learning for Zero-Shot Recognition. CoRR abs/1906.05879 (2019) - [i11]Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim:
Sparse Generative Adversarial Network. CoRR abs/1908.08930 (2019) - [i10]Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu
Deep Adversarial Belief Networks. CoRR abs/1909.06134 (2019) - [i9]Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Community Detection and Improved Detectability in Multiplex Networks. CoRR abs/1909.10477 (2019) - 2018
- [j5]Xiao Bian, Ashkan Panahi
Bi-sparsity pursuit: A paradigm for robust subspace recovery. Signal Process. 152: 148-159 (2018) - [c22]Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Fusion of Community Structures in Multiplex Networks by Label Constraints. EUSIPCO 2018: 887-891 - [c21]Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim:
Robust Subspace Clustering for Radar Detection. EUSIPCO 2018: 1602-1606 - [c20]Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes, John K. Mattingly:
Information Subspace-Based Fusion for Vehicle Classification. EUSIPCO 2018: 1612-1616 - [c19]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Structured Analysis Dictionary Learning for Image Classification. ICASSP 2018: 2181-2185 - [c18]Ashkan Panahi, Hamid Krim, Liyi Dai:
Demystifying Deep Learning: a Geometric Approach to Iterative Projections. ICASSP 2018: 6857-6861 - [c17]Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai:
Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. WACV 2018: 1302-1311 - [i8]Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai:
Deep Dictionary Learning: A PARametric NETwork Approach. CoRR abs/1803.04022 (2018) - [i7]Ashkan Panahi, Hamid Krim, Liyi Dai:
Demystifying Deep Learning: A Geometric Approach to Iterative Projections. CoRR abs/1803.08416 (2018) - [i6]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Structured Analysis Dictionary Learning for Image Classification. CoRR abs/1805.00597 (2018) - [i5]Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning based Classification: Structure for Robustness. CoRR abs/1807.04899 (2018) - 2017
- [j4]Ashkan Panahi
Performance Analysis of Sparsity-Based Parameter Estimation. IEEE Trans. Signal Process. 65(24): 6478-6488 (2017) - [c16]Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya:
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML 2017: 2769-2777 - [c15]Ashkan Panahi, Babak Hassibi:
A Universal Analysis of Large-Scale Regularized Least Squares Solutions. NIPS 2017: 3381-3390 - 2015
- [c14]Ashkan Panahi
A numerical implementation of gridless compressed sensing. ICASSP 2015: 3342-3346 - [c13]Christos Thrampoulidis, Ashkan Panahi
Precise error analysis of the LASSO. ICASSP 2015: 3467-3471 - [c12]Ashkan Panahi
Wideband waveform design for robust target detection. ICASSP 2015: 3926-3930 - [c11]Christos Thrampoulidis, Ashkan Panahi
Asymptotically exact error analysis for the generalized equation-LASSO. ISIT 2015: 2021-2025 - [i4]Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi:
Asymptotically Exact Error Analysis for the Generalized ℓ22-LASSO. CoRR abs/1502.06287 (2015) - 2014
- [j3]Mohammad Reza Khanzadi, Dan Kuylenstierna, Ashkan Panahi
Calculation of the Performance of Communication Systems From Measured Oscillator Phase Noise. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(5): 1553-1565 (2014) - [c10]Ashkan Panahi
Gridless compressive sensing. ICASSP 2014: 3385-3389 - [c9]Amin Movahed, Ashkan Panahi
Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements. ICASSP 2014: 6454-6458 - [c8]Marie Ström, Ashkan Panahi
Wideband waveform design for clutter suppression. SAM 2014: 297-300 - [c7]Ashkan Panahi
Basis pursuit over continuum applied to range-Doppler estimation problem. SAM 2014: 381-384 - [i3]Ashkan Panahi, Marie Ström, Mats Viberg:
Wideband Waveform Design for Robust Target Detection. CoRR abs/1408.4435 (2014) - [i2]M. R. Avendi, Kasra Haghighi, Ashkan Panahi, Mats Viberg:
A NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio. CoRR abs/1408.4544 (2014) - 2013
- [j2]Christoph F. Mecklenbräuker, Peter Gerstoft
Sequential Bayesian Sparse Signal Reconstruction Using Array Data. IEEE Trans. Signal Process. 61(24): 6344-6354 (2013) - [c6]Ashkan Panahi
A novel method of DOA tracking by penalized least squares. CAMSAP 2013: 61-64 - 2012
- [j1]Ashkan Panahi
Fast Candidate Points Selection in the LASSO Path. IEEE Signal Process. Lett. 19(2): 79-82 (2012) - [c5]Ashkan Panahi
A robust ℓ1 penalized DOA estimator. ACSCC 2012: 2013-2017 - [c4]Amin Movahed, Ashkan Panahi
A robust RFPI-based 1-bit compressive sensing reconstruction algorithm. ITW 2012: 567-571 - [i1]Ashkan Panahi, Mats Viberg:
A robust l_1 penalized DOA estimator. CoRR abs/1207.6889 (2012) - 2011
- [c3]Ashkan Panahi
Fast LASSO based DOA tracking. CAMSAP 2011: 397-400 - [c2]Ashkan Panahi
Maximum a posteriori based regularization parameter selection. ICASSP 2011: 2452-2455 - [c1]Ashkan Panahi
On the resolution of The LASSO-based DOA estimation method. WSA 2011: 1-5
Coauthor Index
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