Jonathan I. Tamir

59 papers A* 2A 2B 3Misc 4Journal 38Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning. CoRR Yamin Ishraq Arefeen, Sidharth Kumar, Steven Warach, Hamidreza Saber, Jonathan I. Tamir
2025	A*	`conf`	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. ICLR Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jonathan I. Tamir
2025	J	`jnl`	Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI. CoRR Yamin Ishraq Arefeen, Brett Levac, Bhairav Patel, Chang Ho, Jonathan I. Tamir
2025	J	`jnl`	Double Blind Imaging with Generative Modeling. CoRR Brett Levac, Ajil Jalal, Kannan Ramchandran, Jonathan I. Tamir
2025	J	`jnl`	Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm. CoRR Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker
2025	J	`jnl`	Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models. CoRR Frederic Wang, Jonathan I. Tamir
2024	J	`jnl`	Accelerated, Robust Lower-Field Neonatal MRI with Generative Models. CoRR Yamin Ishraq Arefeen, Brett Levac, Jonathan I. Tamir
2024	J	`jnl`	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data. CoRR Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir
2024	J	`jnl`	Differentiable Rendering for Synthetic Aperture Radar Imagery. IEEE Trans. Aerosp. Electron. Syst. Michael Wilmanski, Jonathan I. Tamir
2024	J	`jnl`	Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising. CoRR Asad Aali, Marius Arvinte, Sidharth Kumar, Yamin Ishraq Arefeen, Jonathan I. Tamir
2024	J	`jnl`	Evaluating Neural Networks for Early Maritime Threat Detection. CoRR Dhanush Tella, Chandra Teja Tiriveedhi, Naphtali Rishe, Dan E. Tamir, Jonathan I. Tamir
2024	—	`conf`	INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D Accelerated MRI Reconstruction. IEEECONF Yamin Ishraq Arefeen, Brett Levac, Zach Stoebner, Jonathan I. Tamir
2024	J	`jnl`	INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction. CoRR Yamin Ishraq Arefeen, Brett Levac, Zach Stoebner, Jonathan I. Tamir
2024	J	`jnl`	Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world. AI Mag. Adam R. Klivans, Alexandros G. Dimakis, Kristen Grauman, Jonathan I. Tamir, Daniel Jesus Diaz, Karen Davidson
2024	J	`jnl`	Polynomial Preconditioners for Regularized Linear Inverse Problems. SIAM J. Imaging Sci. Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop
2023	—	`conf`	Accelerated Motion Correction for MRI Using Score-Based Generative Models. ISBI Brett Levac, Ajil Jalal, Jonathan I. Tamir
2023	J	`jnl`	MIMO Channel Estimation Using Score-Based Generative Models. IEEE Trans. Wirel. Commun. Marius Arvinte, Jonathan I. Tamir
2023	Misc	`conf`	MRI Reconstruction with Side Information using Diffusion Models. ACSSC Brett Levac, Ajil Jalal, Kannan Ramchandran, Jonathan I. Tamir
2023	J	`jnl`	Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. CoRR Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis
2023	Misc	`conf`	Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. ACSSC Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
2023	J	`jnl`	Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. CoRR Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
2023	J	`jnl`	SubZero: Subspace Zero-Shot MRI Reconstruction. CoRR Heng Yu, Jonathan I. Tamir, Berkin Bilgic
2023	—	`conf`	Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space. MIDL Molin Zhang, Junshen Xu, Jonathan I. Tamir, Elfar Adalsteinsson
2022	J	`jnl`	Differentiable Rendering for Synthetic Aperture Radar Imagery. CoRR Michael Wilmanski, Jonathan I. Tamir
2022	—	`conf`	FSE Compensated Motion Correction for MRI Using Data Driven Methods. MICCAI (6) Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir
2022	J	`jnl`	Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning. CoRR Ali Lotfi-Rezaabad, Sidharth Kumar, Sriram Vishwanath, Jonathan I. Tamir
2022	J	`jnl`	High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. CoRR Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2022	J	`jnl`	Joint high-dimensional soft bit estimation and quantization using deep learning. EURASIP J. Wirel. Commun. Netw. Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
2022	J	`jnl`	MIMO Channel Estimation using Score-Based Generative Models. CoRR Marius Arvinte, Jonathan I. Tamir
2022	B	`conf`	Score-Based Generative Models for Robust Channel Estimation. WCNC Marius Arvinte, Jonathan I. Tamir
2022	B	`conf`	Wideband and Entropy-Aware Deep Soft Bit Quantization. WCNC Marius Arvinte, Jonathan I. Tamir
2021	J	`jnl`	Deep Diffusion Models for Robust Channel Estimation. CoRR Marius Arvinte, Jonathan I. Tamir
2021	—	`conf`	Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. MICCAI (6) Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
2021	J	`jnl`	Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. CoRR Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
2021	J	`jnl`	High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. CoRR Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig
2021	A	`conf`	Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir
2021	—	`conf`	Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	A*	`conf`	Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
2021	J	`jnl`	Robust Compressed Sensing MRI with Deep Generative Priors. CoRR Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
2021	J	`jnl`	Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI. CoRR Jonathan I. Tamir, Onur Beker, Heng Yu, Elfar Adalsteinsson, Berkin Bilgic
2021	J	`jnl`	Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results. CoRR Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig
2021	J	`jnl`	Wideband and Entropy-Aware Deep Soft Bit Quantization. CoRR Marius Arvinte, Jonathan I. Tamir
2021	J	`jnl`	eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction. CoRR Heng Yu, Zijing Dong, Jonathan I. Tamir, Congyu Liao, Kawin Setsompop, Berkin Bilgic
2020	J	`jnl`	Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging. IEEE Signal Process. Mag. Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig
2020	J	`jnl`	Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference. CoRR Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir
2020	J	`jnl`	Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Trans. Computational Imaging Michael R. Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
2020	J	`jnl`	Memory-efficient Learning for Large-scale Computational Imaging. CoRR Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
2019	Misc	`conf`	Compressed Sensing MRI Reconstruction on Intel HARPv2. FCCM Yushan Su, Michael Anderson, Jonathan I. Tamir, Michael Lustig, Kai Li
2019	J	`jnl`	Memory-efficient Learning for Large-scale Computational Imaging. CoRR Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
2018	J	`jnl`	Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig
2018	A	`conf`	Indigo: A Domain-Specific Language for Fast, Portable Image Reconstruction. IPDPS Michael B. Driscoll, Benjamin Brock, Frank Ong, Jonathan I. Tamir, Hsiou-Yuan Liu, Michael Lustig, Armando Fox, Katherine A. Yelick
2018	—	`—`	MR Shuffling: Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging Jonathan I. Tamir
2015	J	`jnl`	Compressive scanning of an object signature. Nat. Comput. Jonathan I. Tamir, Dan E. Tamir, Wilhelmus J. Geerts, Shlomi Dolev
2014	—	`conf`	Wireless index coding through rank minimization. ICC Jonathan I. Tamir, Ethan R. Elenberg, Anurag Banerjee, Sriram Vishwanath
2012	B	`conf`	A 38 GHz cellular outage study for an urban outdoor campus environment. WCNC James Murdock, Eshar Ben-Dor, Yijun Qiao, Jonathan I. Tamir, Theodore S. Rappaport
2012	Misc	`conf`	Analog compressed sensing for RF propagation channel sounding. ICASSP Jonathan I. Tamir, Theodore S. Rappaport, Yonina C. Eldar, Ahsan Aziz
2012	—	`conf`	Cellular broadband millimeter wave propagation and angle of arrival for adaptive beam steering systems (invited paper). RWS Theodore S. Rappaport, Yijun Qiao, Jonathan I. Tamir, James Murdock, Eshar Ben-Dor
2012	—	`conf`	Object Signature Acquisition through Compressive Scanning. OSC Jonathan I. Tamir, Dan E. Tamir, Shlomi Dolev