Jonathan I. Tamir

According to our database, Jonathan I. Tamir authored at least 35 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Polynomial Preconditioners for Regularized Linear Inverse Problems.

Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop

SIAM J. Imaging Sci., March, 2024

Differentiable Rendering for Synthetic Aperture Radar Imagery.

Michael Wilmanski, Jonathan I. Tamir

IEEE Trans. Aerosp. Electron. Syst., February, 2024

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data.

Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir

CoRR, 2024

Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world.

Adam R. Klivans, Alexandros G. Dimakis, Kristen Grauman, Jonathan I. Tamir, Daniel Jesus Diaz, Karen Davidson

AI Mag., 2024

2023

MIMO Channel Estimation Using Score-Based Generative Models.

Marius Arvinte, Jonathan I. Tamir

IEEE Trans. Wirel. Commun., June, 2023

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models.

Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis

CoRR, 2023

Accelerated Motion Correction for MRI Using Score-Based Generative Models.

Brett Levac, Ajil Jalal, Jonathan I. Tamir

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MRI Reconstruction with Side Information using Diffusion Models.

Brett Levac, Ajil Jalal, Kannan Ramchandran, Jonathan I. Tamir

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data.

Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Joint high-dimensional soft bit estimation and quantization using deep learning.

Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir

EURASIP J. Wirel. Commun. Netw., 2022

High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting.

Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig

CoRR, 2022

Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning.

Ali Lotfi-Rezaabad, Sidharth Kumar, Sriram Vishwanath, Jonathan I. Tamir

CoRR, 2022

Wideband and Entropy-Aware Deep Soft Bit Quantization.

Marius Arvinte, Jonathan I. Tamir

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Score-Based Generative Models for Robust Channel Estimation.

Marius Arvinte, Jonathan I. Tamir

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

FSE Compensated Motion Correction for MRI Using Data Driven Methods.

Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Deep Diffusion Models for Robust Channel Estimation.

Marius Arvinte, Jonathan I. Tamir

CoRR, 2021

Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results.

Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig

CoRR, 2021

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss.

Ke Wang, Jonathan I. Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella X. Yu, Michael Lustig

CoRR, 2021

Robust Compressed Sensing MRI with Deep Generative Priors.

Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Memory-Efficient Learning for High-Dimensional MRI Reconstruction.

Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization.

Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Hyperbolic graph embedding with enhanced semi-implicit variational inference.

Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Memory-Efficient Learning for Large-Scale Computational Imaging.

Michael R. Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

IEEE Trans. Computational Imaging, 2020

Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging.

Jonathan I. Tamir, Frank Ong, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig

IEEE Signal Process. Mag., 2020

Memory-efficient Learning for Large-scale Computational Imaging.

Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

CoRR, 2020

2019

Memory-efficient Learning for Large-scale Computational Imaging.

Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

CoRR, 2019

Compressed Sensing MRI Reconstruction on Intel HARPv2.

Yushan Su, Michael Anderson, Jonathan I. Tamir, Michael Lustig, Kai Li

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018

Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging.

Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig

CoRR, 2018

Indigo: A Domain-Specific Language for Fast, Portable Image Reconstruction.

Michael B. Driscoll, Benjamin Brock, Frank Ong, Jonathan I. Tamir, Hsiou-Yuan Liu, Michael Lustig, Armando Fox, Katherine A. Yelick

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2015

Compressive scanning of an object signature.

Jonathan I. Tamir, Dan E. Tamir, Wilhelmus J. Geerts, Shlomi Dolev

Nat. Comput., 2015

2014

Wireless index coding through rank minimization.

Jonathan I. Tamir, Ethan R. Elenberg, Anurag Banerjee, Sriram Vishwanath

Proceedings of the IEEE International Conference on Communications, 2014

2012

A 38 GHz cellular outage study for an urban outdoor campus environment.

James Murdock, Eshar Ben-Dor, Yijun Qiao, Jonathan I. Tamir, Theodore S. Rappaport

Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

Cellular broadband millimeter wave propagation and angle of arrival for adaptive beam steering systems (invited paper).

Theodore S. Rappaport, Yijun Qiao, Jonathan I. Tamir, James Murdock, Eshar Ben-Dor

Proceedings of the 2012 IEEE Radio and Wireless Symposium, 2012

Object Signature Acquisition through Compressive Scanning.

Jonathan I. Tamir, Dan E. Tamir, Shlomi Dolev

Proceedings of the Optical Supercomputing - 4th International Workshop, 2012

Analog compressed sensing for RF propagation channel sounding.

Jonathan I. Tamir, Theodore S. Rappaport, Yonina C. Eldar, Ahsan Aziz

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012