Jonathan I. Tamir

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 38

Top Topics

Alternating Optimization

Channel Estimation

Diffusion Models

Top Venues

Publications

Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop
Polynomial Preconditioners for Regularized Linear Inverse Problems. SIAM J. Imaging Sci. 17 (1) (2024)
Adam R. Klivans, Alexandros G. Dimakis, Kristen Grauman, Jonathan I. Tamir, Daniel Jesus Diaz, Karen Davidson
Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world. AI Mag. 45 (1) (2024)
Yamin Arefeen, Brett Levac, Zach Stoebner, Jonathan I. Tamir
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction. CoRR (2024)
Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data. CoRR (2024)
Michael Wilmanski, Jonathan I. Tamir
Differentiable Rendering for Synthetic Aperture Radar Imagery. IEEE Trans. Aerosp. Electron. Syst. 60 (1) (2024)
Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. CoRR (2023)
Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. ACSSC (2023)
Marius Arvinte, Jonathan I. Tamir
MIMO Channel Estimation Using Score-Based Generative Models. IEEE Trans. Wirel. Commun. 22 (6) (2023)
Brett Levac, Ajil Jalal, Kannan Ramchandran, Jonathan I. Tamir
MRI Reconstruction with Side Information using Diffusion Models. ACSSC (2023)
Brett Levac, Ajil Jalal, Jonathan I. Tamir
Accelerated Motion Correction for MRI Using Score-Based Generative Models. ISBI (2023)
Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. CoRR (2023)
Marius Arvinte, Jonathan I. Tamir
Wideband and Entropy-Aware Deep Soft Bit Quantization. WCNC (2022)
Michael Wilmanski, Jonathan I. Tamir
Differentiable Rendering for Synthetic Aperture Radar Imagery. CoRR (2022)
Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir
FSE Compensated Motion Correction for MRI Using Data Driven Methods. MICCAI (6) (2022)
Marius Arvinte, Jonathan I. Tamir
MIMO Channel Estimation using Score-Based Generative Models. CoRR (2022)
Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
Joint high-dimensional soft bit estimation and quantization using deep learning. EURASIP J. Wirel. Commun. Netw. 2022 (1) (2022)
Marius Arvinte, Jonathan I. Tamir
Score-Based Generative Models for Robust Channel Estimation. WCNC (2022)
Ali Lotfi-Rezaabad, Sidharth Kumar, Sriram Vishwanath, Jonathan I. Tamir
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning. CoRR (2022)
Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. CoRR (2022)
Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) (2021)
Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. MICCAI (6) (2021)
Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. CoRR (2021)
Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR (2021)
Marius Arvinte, Jonathan I. Tamir
Deep Diffusion Models for Robust Channel Estimation. CoRR (2021)
Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig
Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results. CoRR (2021)
Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. CoRR (2021)
Marius Arvinte, Jonathan I. Tamir
Wideband and Entropy-Aware Deep Soft Bit Quantization. CoRR (2021)
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS (2021)
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
Robust Compressed Sensing MRI with Deep Generative Priors. CoRR (2021)
Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS (2021)
Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig
Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging. IEEE Signal Process. Mag. 37 (1) (2020)
Michael R. Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
Memory-Efficient Learning for Large-Scale Computational Imaging. IEEE Trans. Computational Imaging 6 (2020)
Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference. CoRR (2020)
Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
Memory-efficient Learning for Large-scale Computational Imaging. CoRR (2020)
Yushan Su, Michael Anderson, Jonathan I. Tamir, Michael Lustig, Kai Li
Compressed Sensing MRI Reconstruction on Intel HARPv2. FCCM (2019)
Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller
Memory-efficient Learning for Large-scale Computational Imaging. CoRR (2019)
Michael B. Driscoll, Benjamin Brock, Frank Ong, Jonathan I. Tamir, Hsiou-Yuan Liu, Michael Lustig, Armando Fox, Katherine A. Yelick
Indigo: A Domain-Specific Language for Fast, Portable Image Reconstruction. IPDPS (2018)
Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR (2018)
Jonathan I. Tamir, Dan E. Tamir, Wilhelmus J. Geerts, Shlomi Dolev
Compressive scanning of an object signature. Nat. Comput. 14 (3) (2015)
Jonathan I. Tamir, Ethan R. Elenberg, Anurag Banerjee, Sriram Vishwanath
Wireless index coding through rank minimization. ICC (2014)
Jonathan I. Tamir, Theodore S. Rappaport, Yonina C. Eldar, Ahsan Aziz
Analog compressed sensing for RF propagation channel sounding. ICASSP (2012)
Theodore S. Rappaport, Yijun Qiao, Jonathan I. Tamir, James Murdock, Eshar Ben-Dor
Cellular broadband millimeter wave propagation and angle of arrival for adaptive beam steering systems (invited paper). RWS (2012)
Jonathan I. Tamir, Dan E. Tamir, Shlomi Dolev
Object Signature Acquisition through Compressive Scanning. OSC (2012)
James Murdock, Eshar Ben-Dor, Yijun Qiao, Jonathan I. Tamir, Theodore S. Rappaport
A 38 GHz cellular outage study for an urban outdoor campus environment. WCNC (2012)