Mardani, Morteza

25 publications

ICML 2025 Adaptive Flow Matching for Resolving Small-Scale Physics Stathi Fotiadis, Noah D Brenowitz, Tomas Geffner, Yair Cohen, Michael Pritchard, Arash Vahdat, Morteza Mardani

NeurIPS 2025 Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu

ICLR 2025 Heavy-Tailed Diffusion Models Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael Pritchard, Arash Vahdat, Morteza Mardani

ICLR 2025 Repulsive Latent Score Distillation for Solving Inverse Problems Nicolas Zilberstein, Morteza Mardani, Santiago Segarra

NeurIPS 2025 Test-Time Scaling of Diffusion Models via Noise Trajectory Search Vignav Ramesh, Morteza Mardani

ICLR 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat

TMLR 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

ICML 2024 Compositional Text-to-Image Generation with Dense Blob Representations Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat

ECCVW 2024 Compositional Text-to-Image Generation with Feedforward Layout Generation Sifei Liu, Weili Nie, An-Chieh Cheng, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat

ICLR 2024 Scaling Convex Neural Networks with Burer-Monteiro Factorization Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci

NeurIPS 2024 Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat

ICML 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

ICLR 2023 Pseudoinverse-Guided Diffusion Models for Inverse Problems Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz

NeurIPSW 2023 Regularization by Denoising Diffusion Process for MRI Reconstruction Batu Ozturkler, Morteza Mardani, Arash Vahdat, Jan Kautz, John M. Pauly

NeurIPSW 2023 Variational Diffusion Models for Blind MRI Inverse Problems Cagan Alkan, Julio Oscanoa, Daniel Abraham, Mengze Gao, Aizada Nurdinova, Kawin Setsompop, John M. Pauly, Morteza Mardani, Shreyas Vasanawala

ICLR 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

ICLR 2022 Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro

ICLR 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

ICML 2022 Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers Arda Sahiner, Tolga Ergen, Batu Ozturkler, John Pauly, Morteza Mardani, Mert Pilanci

ICLR 2021 Convex Regularization Behind Neural Reconstruction Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly

NeurIPSW 2021 Greedy Learning for Large-Scale Neural MRI Reconstruction Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D Desai, John M. Pauly, Shreyas Vasanawala, Morteza Mardani, Mert Pilanci

NeurIPSW 2020 Learning to Sample MRI via Variational Information Maximization Cagan Alkan, Morteza Mardani, Shreyas Vasanawala, John M. Pauly

NeurIPS 2020 Neural FFTs for Universal Texture Image Synthesis Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro

NeurIPSW 2020 Risk Quantification in Deep MRI Reconstruction Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly

NeurIPS 2018 Neural Proximal Gradient Descent for Compressive Imaging Morteza Mardani, Qingyun Sun, David Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John Pauly