Morteza Mardani

89 papers A* 17Misc 4Journal 56Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting. CoRR Jean Kossaifi, Nikola B. Kovachki, Morteza Mardani, Daniel V. Leibovici, Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, Noah D. Brenowitz, Boris Bonev, Wonmin Byeon, Karsten Kreis, Dale R. Durran, Arash Vahdat, Mike Pritchard, Jan Kautz
2026	J	`jnl`	Variational Flow Maps: Make Some Noise for One-Step Conditional Generation. CoRR Abbas Mammadov, So Takao, Bohan Chen, Ricardo Baptista, Morteza Mardani, Yee Whye Teh, Julius Berner
2025	A*	`conf`	Adaptive Flow Matching for Resolving Small-Scale Physics. ICML Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2025	J	`jnl`	AutoSamp: Autoencoding k-Space Sampling via Variational Information Maximization for 3D MRI. IEEE Trans. Medical Imaging Cagan Alkan, Morteza Mardani, Congyu Liao, Zhitao Li, Shreyas S. Vasanawala, John M. Pauly
2025	J	`jnl`	Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting. CoRR Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D. Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu
2025	A*	`conf`	Heavy-Tailed Diffusion Models. ICLR Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2025	A*	`conf`	Repulsive Latent Score Distillation for Solving Inverse Problems. ICLR Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
2025	J	`jnl`	Test-Time Scaling of Diffusion Models via Noise Trajectory Search. CoRR Vignav Ramesh, Morteza Mardani
2024	A*	`conf`	A Variational Perspective on Solving Inverse Problems with Diffusion Models. ICLR Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
2024	J	`jnl`	AGG: Amortized Generative 3D Gaussians for Single Image to 3D. CoRR Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
2024	J	`jnl`	AGG: Amortized Generative 3D Gaussians for Single Image to 3D. Trans. Mach. Learn. Res. Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat
2024	A*	`conf`	BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs. SIGGRAPH Asia Chao Liu, Weili Nie, Sifei Liu, Abhishek Badki, Hang Su, Morteza Mardani, Benjamin Eckart, Arash Vahdat
2024	A*	`conf`	Compositional Text-to-Image Generation with Dense Blob Representations. ICML Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat
2024	J	`jnl`	Compositional Text-to-Image Generation with Dense Blob Representations. CoRR Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat
2024	—	`conf`	Compositional Text-to-Image Generation with Feedforward Layout Generation. ECCV Workshops (11) Sifei Liu, Weili Nie, An-Chieh Cheng, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat
2024	J	`jnl`	DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations. CoRR Jason Stock, Jaideep Pathak, Yair Cohen, Mike Pritchard, Piyush Garg, Dale R. Durran, Morteza Mardani, Noah D. Brenowitz
2024	J	`jnl`	Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales. CoRR Peter Manshausen, Yair Cohen, Jaideep Pathak, Mike Pritchard, Piyush Garg, Morteza Mardani, Karthik Kashinath, Simon Byrne, Noah D. Brenowitz
2024	J	`jnl`	Heavy-Tailed Diffusion Models. CoRR Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2024	J	`jnl`	Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling. CoRR 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
2024	J	`jnl`	Repulsive Score Distillation for Diverse Sampling of Diffusion Models. CoRR Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
2024	A*	`conf`	Scaling Convex Neural Networks with Burer-Monteiro Factorization. ICLR Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2024	J	`jnl`	Stochastic Flow Matching for Resolving Small-Scale Physics. CoRR Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani
2024	A*	`conf`	Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. NeurIPS Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat
2024	J	`jnl`	Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. CoRR Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Borislavov Kovachki, Arash Vahdat
2023	J	`jnl`	A Variational Perspective on Solving Inverse Problems with Diffusion Models. CoRR Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat
2023	—	`conf`	FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. PASC Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar
2023	J	`jnl`	Generative Residual Diffusion Modeling for Km-scale Atmospheric Downscaling. CoRR Morteza Mardani, Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Karthik Kashinath, Jan Kautz, Mike Pritchard
2023	A*	`conf`	Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
2023	J	`jnl`	Multiscale Attention via Wavelet Neural Operators for Vision Transformers. CoRR Anahita Nekoozadeh, Mohammad Reza Ahmadzadeh, Zahra Mardani, Morteza Mardani
2023	A*	`conf`	Pseudoinverse-Guided Diffusion Models for Inverse Problems. ICLR Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz
2023	—	`conf`	SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. MICCAI (3) Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
2023	J	`jnl`	SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models. CoRR Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
2022	A*	`conf`	Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. ICLR Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	A*	`conf`	Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
2022	J	`jnl`	FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR 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
2022	J	`jnl`	FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators. CoRR Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar
2022	J	`jnl`	GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	A*	`conf`	Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. ICLR Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	A*	`conf`	Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. ICML Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	J	`jnl`	Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. CoRR Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2021	J	`jnl`	Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
2021	A*	`conf`	Convex Regularization behind Neural Reconstruction. ICLR Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly
2021	J	`jnl`	Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. CoRR Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci
2021	J	`jnl`	Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. CoRR Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
2021	J	`jnl`	Uncertainty Quantification in Deep MRI Reconstruction. IEEE Trans. Medical Imaging Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly
2021	J	`jnl`	Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. IEEE Trans. Medical Imaging Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2020	J	`jnl`	Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2020	J	`jnl`	Convex Regularization Behind Neural Reconstruction. CoRR Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly
2020	—	`conf`	Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala
2020	A*	`conf`	Neural FFTs for Universal Texture Image Synthesis. NeurIPS Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
2020	J	`jnl`	Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. CoRR Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala
2019	J	`jnl`	Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. CoRR Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2019	J	`jnl`	Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
2019	J	`jnl`	Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
2019	J	`jnl`	VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. CoRR Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly
2019	J	`jnl`	Wasserstein GANs for MR Imaging: from Paired to Unpaired Training. CoRR Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala
2018	A*	`conf`	Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
2018	J	`jnl`	Neural Proximal Gradient Descent for Compressive Imaging. CoRR Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
2017	J	`jnl`	Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR 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
2017	J	`jnl`	Online Categorical Subspace Learning for Sketching Big Data with Misses. IEEE Trans. Signal Process. Yanning Shen, Morteza Mardani, Georgios B. Giannakis
2017	J	`jnl`	Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly
2017	—	`conf`	Recurrent generative adversarial neural networks for compressive imaging. CAMSAP Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing
2016	J	`jnl`	Estimating Traffic and Anomaly Maps via Network Tomography. IEEE/ACM Trans. Netw. Morteza Mardani, Georgios B. Giannakis
2016	J	`jnl`	Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging. CoRR Morteza Mardani, Georgios B. Giannakis, Kâmil Ugurbil
2015	—	`conf`	Online sketching for big data subspace learning. EUSIPCO Morteza Mardani, Georgios B. Giannakis
2015	Misc	`conf`	Online sketching of big categorical data with absent features. CISS Yanning Shen, Morteza Mardani, Georgios B. Giannakis
2015	J	`jnl`	Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. IEEE Trans. Signal Process. Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2014	Misc	`conf`	Classification of streaming big data with misses. ACSSC Fatemeh Sheikholeslami, Morteza Mardani, Georgios B. Giannakis
2014	J	`jnl`	Estimating Traffic and Anomaly Maps via Network Tomography. CoRR Morteza Mardani, Georgios B. Giannakis
2014	—	`conf`	Imputation of streaming low-rank tensor data. SAM Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2014	J	`jnl`	Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. IEEE Trans. Signal Process. Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank. IEEE J. Sel. Top. Signal Process. Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	Misc	`conf`	Rank minimization for subspace tracking from incomplete data. ICASSP Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	J	`jnl`	Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies. IEEE Trans. Inf. Theory Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2013	Misc	`conf`	Robust network traffic estimation via sparsity and low rank. ICASSP Morteza Mardani, Georgios B. Giannakis
2013	—	`conf`	Robust tomography via network traffic maps leveraging sparsity and low rank. GlobalSIP Morteza Mardani, Georgios B. Giannakis
2012	J	`jnl`	Cross-Layer Design of Wireless Multihop Random Access Networks. IEEE Trans. Signal Process. Morteza Mardani, Seung-Jun Kim, Georgios B. Giannakis
2012	—	`conf`	Distributed nuclear norm minimization for matrix completion. SPAWC Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Dynamic Anomalography: Tracking Network Anomalies via Sparsity and Low Rank CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	—	`conf`	Exact recovery of low-rank plus compressed sparse matrices. SSP Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	In-network Sparsity-regularized Rank Minimization: Algorithms and Applications CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2012	J	`jnl`	Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies CoRR Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2011	J	`jnl`	Link-Adaptive and QoS-Provisioning Cooperative ARQ - Applications to Relay-Assisted Land Mobile Satellite Communications. IEEE Trans. Veh. Technol. Morteza Mardani, Jalil Seifali Harsini, Farshad Lahouti, Behrouz Eliasi
2011	—	`conf`	Unveiling anomalies in large-scale networks via sparsity and low rank. ACSCC Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
2008	J	`jnl`	Cross-Layer Link Adaptation Design for Relay Channels with Cooperative ARQ Protocol CoRR Morteza Mardani, Jalil S. Harsini, Farshad Lahouti
2008	J	`jnl`	Joint Adaptive Modulation Coding and Cooperative ARQ over Relay Channels-Applications to Land Mobile Satellite Communications CoRR Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi
2008	J	`jnl`	Joint Adaptive Modulation-Coding and Cooperative ARQ for Wireless Relay Networks CoRR Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi
2008	—	`conf`	Joint adaptive modulation-coding and cooperative ARQ for wireless relay networks. ISWCS Morteza Mardani, Jalil S. Harsini, Farshad Lahouti, Behrouz Eliasi