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Morteza Mardani
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2020 – today
- 2025
- [j13]Cagan Alkan
, Morteza Mardani
AutoSamp: Autoencoding k-Space Sampling via Variational Information Maximization for 3D MRI. IEEE Trans. Medical Imaging 44(1): 270-283 (2025) - 2024
- [c29]Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat:
A Variational Perspective on Solving Inverse Problems with Diffusion Models. ICLR 2024 - [c28]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Scaling Convex Neural Networks with Burer-Monteiro Factorization. ICLR 2024 - [c27]Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat:
Compositional Text-to-Image Generation with Dense Blob Representations. ICML 2024 - [c26]Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat:
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. NeurIPS 2024 - [c25]Chao Liu
BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs. SIGGRAPH Asia 2024: 36:1-36:11 - [i38]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 abs/2401.04099 (2024) - [i37]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 abs/2404.06517 (2024) - [i36]Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat:
Compositional Text-to-Image Generation with Dense Blob Representations. CoRR abs/2405.08246 (2024) - [i35]Nicolas Zilberstein, Morteza Mardani, Santiago Segarra:
Repulsive Score Distillation for Diverse Sampling of Diffusion Models. CoRR abs/2406.16683 (2024) - [i34]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 abs/2406.16947 (2024) - [i33]Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah D. Brenowitz, Dale R. Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, Michael S. Pritchard:
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling. CoRR abs/2408.10958 (2024) - [i32]Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani:
Heavy-Tailed Diffusion Models. CoRR abs/2410.14171 (2024) - [i31]Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Borislavov Kovachki, Arash Vahdat:
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. CoRR abs/2410.16152 (2024) - [i30]Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani:
Stochastic Flow Matching for Resolving Small-Scale Physics. CoRR abs/2410.19814 (2024) - 2023
- [c24]Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz:
Pseudoinverse-Guided Diffusion Models for Inverse Problems. ICLR 2023 - [c23]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: 32483-32498 - [c22]Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz:
SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. MICCAI (3) 2023: 199-209 - [c21]Thorsten Kurth
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. PASC 2023: 13:1-13:11 - [i29]Anahita Nekoozadeh, Mohammad Reza Ahmadzadeh
Multiscale Attention via Wavelet Neural Operators for Vision Transformers. CoRR abs/2303.12398 (2023) - [i28]Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat:
A Variational Perspective on Solving Inverse Problems with Diffusion Models. CoRR abs/2305.04391 (2023) - [i27]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 abs/2309.15214 (2023) - [i26]Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz:
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models. CoRR abs/2310.01799 (2023) - 2022
- [c20]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 - [c19]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR 2022 - [c18]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 - [c17]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: 19050-19088 - [i25]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 abs/2202.11214 (2022) - [i24]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 abs/2205.08078 (2022) - [i23]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 abs/2207.08393 (2022) - [i22]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 abs/2208.05419 (2022) - 2021
- [j12]Ke Lei
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. IEEE Trans. Medical Imaging 40(1): 105-115 (2021) - [j11]Vineet Edupuganti
Uncertainty Quantification in Deep MRI Reconstruction. IEEE Trans. Medical Imaging 40(1): 239-250 (2021) - [c16]Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization behind Neural Reconstruction. ICLR 2021 - [i21]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 abs/2103.01499 (2021) - [i20]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 abs/2107.05680 (2021) - [i19]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR abs/2111.13587 (2021) - 2020
- [j10]Christopher M. Sandino
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. 37(1): 117-127 (2020) - [c15]Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI 2020: 1056-1059 - [c14]Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro:
Neural FFTs for Universal Texture Image Synthesis. NeurIPS 2020 - [i18]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 abs/2010.00003 (2020) - [i17]Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization Behind Neural Reconstruction. CoRR abs/2012.05169 (2020)
2010 – 2019
- 2019
- [j9]Morteza Mardani
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging 38(1): 167-179 (2019) - [i16]Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly:
VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. CoRR abs/1901.11228 (2019) - [i15]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 abs/1903.07824 (2019) - [i14]Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR abs/1906.03742 (2019) - [i13]Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala:
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training. CoRR abs/1910.07048 (2019) - 2018
- [c13]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: 9596-9606 - [i12]Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. CoRR abs/1806.03963 (2018) - 2017
- [j8]Yanning Shen
Online Categorical Subspace Learning for Sketching Big Data with Misses. IEEE Trans. Signal Process. 65(15): 4004-4018 (2017) - [c12]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing:
Recurrent generative adversarial neural networks for compressive imaging. CAMSAP 2017: 1-5 - [i11]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 abs/1706.00051 (2017) - [i10]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 abs/1711.10046 (2017) - 2016
- [j7]Morteza Mardani, Georgios B. Giannakis
Estimating Traffic and Anomaly Maps via Network Tomography. IEEE/ACM Trans. Netw. 24(3): 1533-1547 (2016) - [i9]Morteza Mardani, Georgios B. Giannakis, Kâmil Ugurbil:
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging. CoRR abs/1609.04104 (2016) - 2015
- [j6]Morteza Mardani, Gonzalo Mateos
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. IEEE Trans. Signal Process. 63(10): 2663-2677 (2015) - [c11]Yanning Shen
Online sketching of big categorical data with absent features. CISS 2015: 1-6 - [c10]Morteza Mardani, Georgios B. Giannakis
Online sketching for big data subspace learning. EUSIPCO 2015: 2511-2515 - 2014
- [c9]Fatemeh Sheikholeslami, Morteza Mardani, Georgios B. Giannakis
Classification of streaming big data with misses. ACSSC 2014: 1051-1055 - [c8]Morteza Mardani, Gonzalo Mateos
Imputation of streaming low-rank tensor data. SAM 2014: 433-436 - [i8]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. CoRR abs/1404.4667 (2014) - [i7]Morteza Mardani, Georgios B. Giannakis:
Estimating Traffic and Anomaly Maps via Network Tomography. CoRR abs/1407.1660 (2014) - 2013
- [j5]Morteza Mardani, Gonzalo Mateos
Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank. IEEE J. Sel. Top. Signal Process. 7(1): 50-66 (2013) - [j4]Morteza Mardani, Gonzalo Mateos
Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies. IEEE Trans. Inf. Theory 59(8): 5186-5205 (2013) - [j3]Morteza Mardani, Gonzalo Mateos
Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. IEEE Trans. Signal Process. 61(21): 5374-5388 (2013) - [c7]Morteza Mardani, Georgios B. Giannakis
Robust tomography via network traffic maps leveraging sparsity and low rank. GlobalSIP 2013: 811-814 - [c6]Morteza Mardani, Georgios B. Giannakis
Robust network traffic estimation via sparsity and low rank. ICASSP 2013: 4529-4533 - [c5]Morteza Mardani, Gonzalo Mateos
Rank minimization for subspace tracking from incomplete data. ICASSP 2013: 5681-5685 - 2012
- [j2]Morteza Mardani, Seung-Jun Kim, Georgios B. Giannakis
Cross-Layer Design of Wireless Multihop Random Access Networks. IEEE Trans. Signal Process. 60(5): 2562-2574 (2012) - [c4]Morteza Mardani, Gonzalo Mateos
Distributed nuclear norm minimization for matrix completion. SPAWC 2012: 354-358 - [c3]Morteza Mardani, Gonzalo Mateos
Exact recovery of low-rank plus compressed sparse matrices. SSP 2012: 49-52 - [i6]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications. CoRR abs/1203.1570 (2012) - [i5]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies. CoRR abs/1204.6537 (2012) - [i4]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Dynamic Anomalography: Tracking Network Anomalies via Sparsity and Low Rank. CoRR abs/1208.4043 (2012) - 2011
- [j1]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): 3192-3206 (2011) - [c2]Morteza Mardani, Gonzalo Mateos
Unveiling anomalies in large-scale networks via sparsity and low rank. ACSCC 2011: 403-407
2000 – 2009
- 2008
- [c1]Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi:
Joint adaptive modulation-coding and cooperative ARQ for wireless relay networks. ISWCS 2008: 319-323 - [i3]Morteza Mardani, Jalil S. Harsini, Farshad Lahouti:
Cross-Layer Link Adaptation Design for Relay Channels with Cooperative ARQ Protocol. CoRR abs/0811.4391 (2008) - [i2]Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi:
Joint Adaptive Modulation-Coding and Cooperative ARQ for Wireless Relay Networks. CoRR abs/0811.4397 (2008) - [i1]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 abs/0811.4403 (2008)
Coauthor Index
S. S. Vasanawala
aka: Shreyas Vasanawala
aka: Shreyas S. Vasanawala
aka: Shreyas Vasawanala
aka: Shreyas S. Vasawanala
aka: Shreyas Vasanawala
aka: Shreyas S. Vasanawala
aka: Shreyas Vasawanala
aka: Shreyas S. Vasawanala
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