| 2025 | AISTATS | A Novel Convex Gaussian Min Max Theorem for Repeated Features. | David Bosch, Ashkan Panahi |
| 2025 | AISTATS | Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs. | Firooz Shahriari-Mehr, Ashkan Panahi |
| 2023 | AAAI | Sharing Pattern Submodels for Prediction with Missing Values. | Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson |
| 2023 | AISTATS | Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. | David Bosch, Ashkan Panahi, Aya zelikkale, Devdatt P. Dubhashi |
| 2023 | COLT | Precise Asymptotic Analysis of Deep Random Feature Models. | David Bosch, Ashkan Panahi, Babak Hassibi |
| 2023 | ICIP | Fast Optimal Transport for Latent Domain Adaptation. | Siddharth Roheda, Ashkan Panahi, Hamid Krim |
| 2023 | ICML | 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 |
| 2022 | CIKM | Analysis of Knowledge Transfer in Kernel Regime. | Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani |
| 2019 | ICASSP | Analysis Dictionary Learning: an Efficient and Discriminative Solution. | Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai |
| 2019 | ICASSP | Nonlinear Multi-scale Super-resolution Using Deep Learning. | Kenneth Tran, Ashkan Panahi, Aniruddha Adiga, Wesam A. Sakla, Hamid Krim |
| 2018 | ICASSP | Demystifying Deep Learning: a Geometric Approach to Iterative Projections. | Ashkan Panahi, Hamid Krim, Liyi Dai |
| 2018 | ICASSP | Structured Analysis Dictionary Learning for Image Classification. | Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai |
| 2018 | WACV | Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. | Ashkan Panahi, Xiao Bian, Hamid Krim, Liyi Dai |
| 2017 | ICML | Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. | Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya |
| 2015 | ICASSP | Wideband waveform design for robust target detection. | Ashkan Panahi, Marie Strom, Mats Viberg |
| 2015 | ICASSP | A numerical implementation of gridless compressed sensing. | Ashkan Panahi, Mats Viberg, Babak Hassibi |
| 2015 | ICASSP | Precise error analysis of the LASSO. | Christos Thrampoulidis, Ashkan Panahi, Daniel Guo, Babak Hassibi |
| 2015 | ISIT | Asymptotically exact error analysis for the generalized equation-LASSO. | Christos Thrampoulidis, Ashkan Panahi, Babak Hassibi |
| 2014 | ICASSP | Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements. | Amin Movahed, Ashkan Panahi, Mark C. Reed |
| 2014 | ICASSP | Gridless compressive sensing. | Ashkan Panahi, Mats Viberg |
| 2012 | ACSSC | A robust ℓ1 penalized DOA estimator. | Ashkan Panahi, Mats Viberg |
| 2012 | ITW | A robust RFPI-based 1-bit compressive sensing reconstruction algorithm. | Amin Movahed, Ashkan Panahi, Giuseppe Durisi |
| 2011 | ICASSP | Maximum a posteriori based regularization parameter selection. | Ashkan Panahi, Mats Viberg |