Ashkan Panahi - RankMe

73 papers A* 4A 5B 3Misc 10Journal 38Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Gaussian Comparison Theorem for Training Dynamics in Machine Learning. CoRR Ashkan Panahi
2025	A	`conf`	A Novel Convex Gaussian Min Max Theorem for Repeated Features. AISTATS David Bosch, Ashkan Panahi
2025	A	`conf`	Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs. AISTATS Firooz Shahriari-Mehr, Ashkan Panahi
2025	J	`jnl`	Bounds on Perfect Node Classification: A Convex Graph Clustering Perspective. CoRR Firooz Shahriari-Mehr, Javad Aliakbari, Alexandre Graell i Amat, Ashkan Panahi
2025	J	`jnl`	Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization. IEEE Trans. Autom. Control. Firooz Shahriari-Mehr, Ashkan Panahi
2025	J	`jnl`	Subgraph Federated Learning via Spectral Methods. CoRR Javad Aliakbari, Johan Östman, Ashkan Panahi, Alexandre Graell i Amat
2024	J	`jnl`	AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]. J. Opt. Commun. Netw. Carlos Natalino, Ashkan Panahi, Nasser Mohammadiha, Paolo Monti
2024	J	`jnl`	Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach. CoRR Mehdi Sattari, Hao Guo, Deniz Gündüz, Ashkan Panahi, Tommy Svensson
2023	B	`conf`	Fast Optimal Transport for Latent Domain Adaptation. ICIP Siddharth Roheda, Ashkan Panahi, Hamid Krim
2023	J	`jnl`	FsaNet: Frequency Self-Attention for Semantic Segmentation. IEEE Trans. Image Process. Fengyu Zhang, Ashkan Panahi, Guangjun Gao
2023	—	`conf`	Machine-Learning-as-a-Service for Optical Network Automation. OFC Carlos Natalino, Nasser Mohammadiha, Ashkan Panahi
2023	A*	`conf`	Precise Asymptotic Analysis of Deep Random Feature Models. COLT David Bosch, Ashkan Panahi, Babak Hassibi
2023	J	`jnl`	Precise Asymptotic Analysis of Deep Random Feature Models. CoRR David Bosch, Ashkan Panahi, Babak Hassibi
2023	A	`conf`	Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. AISTATS David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
2023	A*	`conf`	Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. ICML Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim
2023	A*	`conf`	Sharing Pattern Submodels for Prediction with Missing Values. AAAI Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson
2022	A	`conf`	Analysis of Knowledge Transfer in Kernel Regime. CIKM Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2022	J	`jnl`	Decentralized Constrained Optimization, Double Averaging and Gradient Projection. CoRR Firooz Shahriari-Mehr, Ashkan Panahi
2022	J	`jnl`	Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. CoRR David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
2022	J	`jnl`	Fast OT for Latent Domain Adaptation. CoRR Siddharth Roheda, Ashkan Panahi, Hamid Krim
2022	J	`jnl`	FsaNet: Frequency Self-attention for Semantic Segmentation. CoRR Fengyu Zhang, Ashkan Panahi, Guangjun Gao
2021	—	`conf`	Decentralized Constrained Optimization: Double Averaging and Gradient Projection. CDC Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi
2021	J	`jnl`	Decentralized Constrained Optimization: Double Averaging and Gradient Projection. CoRR Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi
2020	J	`jnl`	Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
2020	J	`jnl`	Community Detection and Improved Detectability in Multiplex Networks. IEEE Trans. Netw. Sci. Eng. Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
2020	J	`jnl`	On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. CoRR Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2020	J	`jnl`	Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. CoRR Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes
2019	J	`jnl`	Analysis Dictionary Learning Based Classification: Structure for Robustness. IEEE Trans. Image Process. Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
2019	J	`jnl`	Analysis Dictionary Learning: An Efficient and Discriminative Solution. CoRR Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
2019	Misc	`conf`	Analysis Dictionary Learning: an Efficient and Discriminative Solution. ICASSP Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
2019	J	`jnl`	Community Detection and Improved Detectability in Multiplex Networks. CoRR Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
2019	J	`jnl`	Deep Adversarial Belief Networks. CoRR Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith
2019	J	`jnl`	Deep Dictionary Learning: A PARametric NETwork Approach. IEEE Trans. Image Process. Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai
2019	J	`jnl`	Joint Concept Matching based Learning for Zero-Shot Recognition. CoRR Wen Tang, Ashkan Panahi, Hamid Krim
2019	Misc	`conf`	Nonlinear Multi-scale Super-resolution Using Deep Learning. ICASSP Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim
2019	—	`conf`	Sparse Generative Adversarial Network. ICCV Workshops Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim
2019	J	`jnl`	Sparse Generative Adversarial Network. CoRR Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim
2019	J	`jnl`	Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. CoRR Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi
2018	J	`jnl`	Analysis Dictionary Learning based Classification: Structure for Robustness. CoRR Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
2018	J	`jnl`	Bi-sparsity pursuit: A paradigm for robust subspace recovery. Signal Process. Xiao Bian, Ashkan Panahi, Hamid Krim
2018	J	`jnl`	Deep Dictionary Learning: A PARametric NETwork Approach. CoRR Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim, Liyi Dai
2018	J	`jnl`	Demystifying Deep Learning: A Geometric Approach to Iterative Projections. CoRR Ashkan Panahi, Hamid Krim, Liyi Dai
2018	Misc	`conf`	Demystifying Deep Learning: a Geometric Approach to Iterative Projections. ICASSP Ashkan Panahi, Hamid Krim, Liyi Dai
2018	—	`conf`	Fusion of Community Structures in Multiplex Networks by Label Constraints. EUSIPCO Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
2018	—	`conf`	Information Subspace-Based Fusion for Vehicle Classification. EUSIPCO Sally Ghanem, Ashkan Panahi, Hamid Krim, Ryan A. Kerekes, John K. Mattingly
2018	A	`conf`	Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. WACV Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai
2018	—	`conf`	Robust Subspace Clustering for Radar Detection. EUSIPCO Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim
2018	Misc	`conf`	Structured Analysis Dictionary Learning for Image Classification. ICASSP Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
2018	J	`jnl`	Structured Analysis Dictionary Learning for Image Classification. CoRR Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
2017	—	`conf`	A Universal Analysis of Large-Scale Regularized Least Squares Solutions. NIPS Ashkan Panahi, Babak Hassibi
2017	A*	`conf`	Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
2017	J	`jnl`	Performance Analysis of Sparsity-Based Parameter Estimation. IEEE Trans. Signal Process. Ashkan Panahi, Mats Viberg
2015	Misc	`conf`	A numerical implementation of gridless compressed sensing. ICASSP Ashkan Panahi, Mats Viberg, Babak Hassibi
2015	J	`jnl`	Asymptotically Exact Error Analysis for the Generalized ℓ CoRR Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi
2015	B	`conf`	Asymptotically exact error analysis for the generalized equation-LASSO. ISIT Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi
2015	Misc	`conf`	Precise error analysis of the LASSO. ICASSP Christos Thrampoulidis, Ashkan Panahi, Daniel Guo, Babak Hassibi
2015	Misc	`conf`	Wideband waveform design for robust target detection. ICASSP Ashkan Panahi, Marie Strom, Mats Viberg
2014	J	`jnl`	A NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio. CoRR M. R. Avendi, Kasra Haghighi, Ashkan Panahi, Mats Viberg
2014	—	`conf`	Basis pursuit over continuum applied to range-Doppler estimation problem. SAM Ashkan Panahi, Marie Ström, Mats Viberg
2014	J	`jnl`	Calculation of the Performance of Communication Systems From Measured Oscillator Phase Noise. IEEE Trans. Circuits Syst. I Regul. Pap. Mohammad Reza Khanzadi, Dan Kuylenstierna, Ashkan Panahi, Thomas Eriksson, Herbert Zirath
2014	Misc	`conf`	Gridless compressive sensing. ICASSP Ashkan Panahi, Mats Viberg
2014	Misc	`conf`	Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements. ICASSP Amin Movahed, Ashkan Panahi, Mark C. Reed
2014	J	`jnl`	Wideband Waveform Design for Robust Target Detection. CoRR Ashkan Panahi, Marie Ström, Mats Viberg
2014	—	`conf`	Wideband waveform design for clutter suppression. SAM Marie Ström, Ashkan Panahi, Mats Viberg, Kent Falk
2013	—	`conf`	A novel method of DOA tracking by penalized least squares. CAMSAP Ashkan Panahi, Mats Viberg
2013	J	`jnl`	Sequential Bayesian Sparse Signal Reconstruction Using Array Data. IEEE Trans. Signal Process. Christoph F. Mecklenbräuker, Peter Gerstoft, Ashkan Panahi, Mats Viberg
2012	B	`conf`	A robust RFPI-based 1-bit compressive sensing reconstruction algorithm. ITW Amin Movahed, Ashkan Panahi, Giuseppe Durisi
2012	J	`jnl`	A robust l_1 penalized DOA estimator CoRR Ashkan Panahi, Mats Viberg
2012	—	`conf`	A robust ℓ1 penalized DOA estimator. ACSCC Ashkan Panahi, Mats Viberg
2012	J	`jnl`	Fast Candidate Points Selection in the LASSO Path. IEEE Signal Process. Lett. Ashkan Panahi, Mats Viberg
2011	—	`conf`	Fast LASSO based DOA tracking. CAMSAP Ashkan Panahi, Mats Viberg
2011	Misc	`conf`	Maximum a posteriori based regularization parameter selection. ICASSP Ashkan Panahi, Mats Viberg
2011	—	`conf`	On the resolution of The LASSO-based DOA estimation method. WSA Ashkan Panahi, Mats Viberg