| 2025 | CVPR | A Unified Model for Compressed Sensing MRI Across Undersampling Patterns. | Armeet Singh Jatyani, Jiayun Wang, Aditi Chandrashekar, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar |
| 2025 | ICLR | Diffusion State-Guided Projected Gradient for Inverse Problems. | Rayhan Zirvi, Bahareh Tolooshams, Anima Anandkumar |
| 2023 | ICML | Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. | Alexander Lin, Bahareh Tolooshams, Yves F. Atchad, Demba E. Ba |
| 2022 | ICASSP | A Training Framework for Stereo-Aware Speech Enhancement Using Deep Neural Networks. | Bahareh Tolooshams, Kazuhito Koishida |
| 2021 | ICASSP | Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. | Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar |
| 2020 | ICASSP | Channel-Attention Dense U-Net for Multichannel Speech Enhancement. | Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy |
| 2020 | ICML | Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. | Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba |