Morteza Mardani

According to our database, Morteza Mardani authored at least 54 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations.

Jason Stock, Jaideep Pathak, Yair Cohen, Mike Pritchard, Piyush Garg, Dale R. Durran, Morteza Mardani, Noah D. Brenowitz

CoRR, 2024

AGG: Amortized Generative 3D Gaussians for Single Image to 3D.

Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat

CoRR, 2024

2023

Generative Residual Diffusion Modeling for Km-scale Atmospheric Downscaling.

Morteza Mardani, Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Karthik Kashinath, Jan Kautz, Mike Pritchard

CoRR, 2023

A Variational Perspective on Solving Inverse Problems with Diffusion Models.

Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat

CoRR, 2023

Multiscale Attention via Wavelet Neural Operators for Vision Transformers.

Anahita Nekoozadeh, Mohammad Reza Ahmadzadeh, Zahra Mardani, Morteza Mardani

CoRR, 2023

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators.

Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models.

Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.

Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat

Proceedings of the International Conference on Machine Learning, 2023

Pseudoinverse-Guided Diffusion Models for Inverse Problems.

Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction.

Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci

CoRR, 2022

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

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

CoRR, 2022

Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers.

Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci

Proceedings of the International Conference on Machine Learning, 2022

Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions.

Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators.

John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Tenth International Conference on Learning Representations, 2022

Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization.

Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Wasserstein GANs for MR Imaging: From Paired to Unpaired Training.

Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

IEEE Trans. Medical Imaging, 2021

Uncertainty Quantification in Deep MRI Reconstruction.

Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly

IEEE Trans. Medical Imaging, 2021

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

CoRR, 2021

Convex Regularization behind Neural Reconstruction.

Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging.

Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

IEEE Signal Process. Mag., 2020

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images.

Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala

CoRR, 2020

Neural FFTs for Universal Texture Image Synthesis.

Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.

Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly

IEEE Trans. Medical Imaging, 2019

Degrees of Freedom Analysis of Unrolled Neural Networks.

Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho

CoRR, 2019

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning.

Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

CoRR, 2019

VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis.

Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly

CoRR, 2019

2018

Neural Proximal Gradient Descent for Compressive Imaging.

Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Online Categorical Subspace Learning for Sketching Big Data with Misses.

Yanning Shen, Morteza Mardani, Georgios B. Giannakis

IEEE Trans. Signal Process., 2017

Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery.

Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly

CoRR, 2017

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI.

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

CoRR, 2017

Recurrent generative adversarial neural networks for compressive imaging.

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Estimating Traffic and Anomaly Maps via Network Tomography.

Morteza Mardani, Georgios B. Giannakis

IEEE/ACM Trans. Netw., 2016

Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging.

Morteza Mardani, Georgios B. Giannakis, Kâmil Ugurbil

CoRR, 2016

2015

Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

IEEE Trans. Signal Process., 2015

Online sketching for big data subspace learning.

Morteza Mardani, Georgios B. Giannakis

Proceedings of the 23rd European Signal Processing Conference, 2015

Online sketching of big categorical data with absent features.

Yanning Shen, Morteza Mardani, Georgios B. Giannakis

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014

Imputation of streaming low-rank tensor data.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Classification of streaming big data with misses.

Fatemeh Sheikholeslami, Morteza Mardani, Georgios B. Giannakis

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

IEEE Trans. Signal Process., 2013

Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

IEEE Trans. Inf. Theory, 2013

Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

IEEE J. Sel. Top. Signal Process., 2013

Rank minimization for subspace tracking from incomplete data.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2013

Robust network traffic estimation via sparsity and low rank.

Morteza Mardani, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2013

Robust tomography via network traffic maps leveraging sparsity and low rank.

Morteza Mardani, Georgios B. Giannakis

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Cross-Layer Design of Wireless Multihop Random Access Networks.

Morteza Mardani, Seung-Jun Kim, Georgios B. Giannakis

IEEE Trans. Signal Process., 2012

In-network Sparsity-regularized Rank Minimization: Algorithms and Applications

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

CoRR, 2012

Exact recovery of low-rank plus compressed sparse matrices.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Distributed nuclear norm minimization for matrix completion.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

2011

Link-Adaptive and QoS-Provisioning Cooperative ARQ - Applications to Relay-Assisted Land Mobile Satellite Communications.

Morteza Mardani, Jalil Seifali Harsini, Farshad Lahouti, Behrouz Eliasi

IEEE Trans. Veh. Technol., 2011

Unveiling anomalies in large-scale networks via sparsity and low rank.

Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2008

Joint Adaptive Modulation Coding and Cooperative ARQ over Relay Channels-Applications to Land Mobile Satellite Communications

Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi

CoRR, 2008

Cross-Layer Link Adaptation Design for Relay Channels with Cooperative ARQ Protocol

Morteza Mardani, Jalil S. Harsini, Farshad Lahouti

CoRR, 2008

Joint adaptive modulation-coding and cooperative ARQ for wireless relay networks.

Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi

Proceedings of the 2008 5th International Symposium on Wireless Communication Systems, 2008