Morteza Mardani

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 47

Top Topics

Compressed Sensing

Diffusion Models

Subspace Learning

Top Venues

IEEE Trans. Medical Imaging

IEEE Trans. Signal Process.

Publications

Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
AGG: Amortized Generative 3D Gaussians for Single Image to 3D. CoRR (2024)
Peter Manshausen, Yair Cohen, Jaideep Pathak, Mike Pritchard, Piyush Garg, Morteza Mardani, Karthik Kashinath, Simon Byrne, Noah D. Brenowitz
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales. CoRR (2024)
Jason Stock, Jaideep Pathak, Yair Cohen, Mike Pritchard, Piyush Garg, Dale R. Durran, Morteza Mardani, Noah D. Brenowitz
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations. CoRR (2024)
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
Repulsive Score Distillation for Diverse Sampling of Diffusion Models. CoRR (2024)
Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
Scaling Convex Neural Networks with Burer-Monteiro Factorization. ICLR (2024)
Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat
Compositional Text-to-Image Generation with Dense Blob Representations. CoRR (2024)
Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
A Variational Perspective on Solving Inverse Problems with Diffusion Models. ICLR (2024)
Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
A Variational Perspective on Solving Inverse Problems with Diffusion Models. CoRR (2023)
Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. MICCAI (3) (2023)
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML (2023)
Anahita Nekoozadeh, Mohammad Reza Ahmadzadeh, Zahra Mardani, Morteza Mardani
Multiscale Attention via Wavelet Neural Operators for Vision Transformers. CoRR (2023)
Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models. CoRR (2023)
Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz
Pseudoinverse-Guided Diffusion Models for Inverse Problems. ICLR (2023)
Morteza Mardani, Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Karthik Kashinath, Jan Kautz, Mike Pritchard
Generative Residual Diffusion Modeling for Km-scale Atmospheric Downscaling. CoRR (2023)
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. PASC (2023)
Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR (2022)
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators. CoRR (2022)
Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. ICLR (2022)
Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. ICML (2022)
Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. CoRR (2022)
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR (2022)
Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. ICLR (2022)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR (2022)
Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. IEEE Trans. Medical Imaging 40 (1) (2021)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR (2021)
Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly
Convex Regularization behind Neural Reconstruction. ICLR (2021)
Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. CoRR (2021)
Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly
Uncertainty Quantification in Deep MRI Reconstruction. IEEE Trans. Medical Imaging 40 (1) (2021)
Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. CoRR (2021)
Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala
Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. CoRR (2020)
Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI (2020)
Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
Neural FFTs for Universal Texture Image Synthesis. NeurIPS (2020)
Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly
Convex Regularization Behind Neural Reconstruction. CoRR (2020)
Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. 37 (1) (2020)
Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training. CoRR (2019)
Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly
VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. CoRR (2019)
Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging 38 (1) (2019)
Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR (2019)
Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. CoRR (2019)
Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS (2018)
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
Neural Proximal Gradient Descent for Compressive Imaging. CoRR (2018)
Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR (2017)
Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus T. Alley, Neil Thakur, Song Han, William J. Dally, John M. Pauly, Lei Xing
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR (2017)
Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing
Recurrent generative adversarial neural networks for compressive imaging. CAMSAP (2017)
Yanning Shen, Morteza Mardani, Georgios B. Giannakis
Online Categorical Subspace Learning for Sketching Big Data with Misses. IEEE Trans. Signal Process. 65 (15) (2017)
Morteza Mardani, Georgios B. Giannakis
Estimating Traffic and Anomaly Maps via Network Tomography. IEEE/ACM Trans. Netw. 24 (3) (2016)
Morteza Mardani, Georgios B. Giannakis, Kamil Ugurbil
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging. CoRR (2016)
Yanning Shen, Morteza Mardani, Georgios B. Giannakis
Online sketching of big categorical data with absent features. CISS (2015)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. IEEE Trans. Signal Process. 63 (10) (2015)
Morteza Mardani, Georgios B. Giannakis
Online sketching for big data subspace learning. EUSIPCO (2015)
Morteza Mardani, Georgios B. Giannakis
Estimating Traffic and Anomaly Maps via Network Tomography. CoRR (2014)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. CoRR (2014)
Fatemeh Sheikholeslami, Morteza Mardani, Georgios B. Giannakis
Classification of streaming big data with misses. ACSSC (2014)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Imputation of streaming low-rank tensor data. SAM (2014)
Morteza Mardani, Georgios B. Giannakis
Robust tomography via network traffic maps leveraging sparsity and low rank. GlobalSIP (2013)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. IEEE Trans. Signal Process. 61 (21) (2013)
Morteza Mardani, Georgios B. Giannakis
Robust network traffic estimation via sparsity and low rank. ICASSP (2013)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank. IEEE J. Sel. Top. Signal Process. 7 (1) (2013)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies. IEEE Trans. Inf. Theory 59 (8) (2013)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Rank minimization for subspace tracking from incomplete data. ICASSP (2013)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Distributed nuclear norm minimization for matrix completion. SPAWC (2012)
Morteza Mardani, Seung-Jun Kim, Georgios B. Giannakis
Cross-Layer Design of Wireless Multihop Random Access Networks. IEEE Trans. Signal Process. 60 (5) (2012)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Dynamic Anomalography: Tracking Network Anomalies via Sparsity and Low Rank CoRR (2012)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies CoRR (2012)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications CoRR (2012)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Exact recovery of low-rank plus compressed sparse matrices. SSP (2012)
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
Unveiling anomalies in large-scale networks via sparsity and low rank. ACSCC (2011)
Morteza Mardani, Jalil Seifali Harsini, Farshad Lahouti, Behrouz Eliasi
Link-Adaptive and QoS-Provisioning Cooperative ARQ - Applications to Relay-Assisted Land Mobile Satellite Communications. IEEE Trans. Veh. Technol. 60 (7) (2011)
Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi
Joint Adaptive Modulation-Coding and Cooperative ARQ for Wireless Relay Networks CoRR (2008)
Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi
Joint Adaptive Modulation Coding and Cooperative ARQ over Relay Channels-Applications to Land Mobile Satellite Communications CoRR (2008)
Morteza Mardani, Jalil S. Harsini, Farshad Lahouti
Cross-Layer Link Adaptation Design for Relay Channels with Cooperative ARQ Protocol CoRR (2008)
Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi
Joint adaptive modulation-coding and cooperative ARQ for wireless relay networks. ISWCS (2008)