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ORCIDJonathan I. Tamir
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2020 – today
- 2024
[j8]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): 35-41 (2024)- [j7]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): 116-146 (2024) - [j6]Michael Wilmanski, Jonathan I. Tamir:
Differentiable Rendering for Synthetic Aperture Radar Imagery. IEEE Trans. Aerosp. Electron. Syst. 60(1): 82-93 (2024) - [i19]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 abs/2403.08728 (2024) - [i18]Yamin Arefeen, Brett Levac, Zach Stoebner, Jonathan I. Tamir:
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction. CoRR abs/2406.13895 (2024) - 2023
- [j5]Marius Arvinte, Jonathan I. Tamir:
MIMO Channel Estimation Using Score-Based Generative Models. IEEE Trans. Wirel. Commun. 22(6): 3698-3713 (2023) - [c17]Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir:
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. ACSSC 2023: 837-843 - [c16]Brett Levac, Ajil Jalal, Kannan Ramchandran, Jonathan I. Tamir:
MRI Reconstruction with Side Information using Diffusion Models. ACSSC 2023: 1436-1442 - [c15]Brett Levac, Ajil Jalal, Jonathan I. Tamir:
Accelerated Motion Correction for MRI Using Score-Based Generative Models. ISBI 2023: 1-5 - [i17]Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir:
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. CoRR abs/2305.01166 (2023) - [i16]Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis:
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. CoRR abs/2306.03284 (2023) - 2022
- [j4]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): 51 (2022) - [c14]Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir:
FSE Compensated Motion Correction for MRI Using Data Driven Methods. MICCAI (6) 2022: 707-716 - [c13]Marius Arvinte, Jonathan I. Tamir:
Score-Based Generative Models for Robust Channel Estimation. WCNC 2022: 453-458 - [c12]Marius Arvinte, Jonathan I. Tamir:
Wideband and Entropy-Aware Deep Soft Bit Quantization. WCNC 2022: 2625-2630 - [i15]Michael Wilmanski, Jonathan I. Tamir:
Differentiable Rendering for Synthetic Aperture Radar Imagery. CoRR abs/2204.01248 (2022) - [i14]Marius Arvinte, Jonathan I. Tamir:
MIMO Channel Estimation using Score-Based Generative Models. CoRR abs/2204.07122 (2022) - [i13]Ali Lotfi-Rezaabad, Sidharth Kumar, Sriram Vishwanath, Jonathan I. Tamir:
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning. CoRR abs/2206.10137 (2022) - [i12]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 abs/2212.10817 (2022) - 2021
- [c11]Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir:
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021: 3439-3447 - [c10]Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir:
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. MICCAI (6) 2021: 350-360 - [c9]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: 461-470 - [c8]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS 2021: 14938-14954 - [i11]Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir:
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. CoRR abs/2103.02087 (2021) - [i10]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 abs/2103.04003 (2021) - [i9]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. CoRR abs/2108.01368 (2021) - [i8]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 abs/2108.12460 (2021) - [i7]Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig:
Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results. CoRR abs/2109.08237 (2021) - [i6]Marius Arvinte, Jonathan I. Tamir:
Wideband and Entropy-Aware Deep Soft Bit Quantization. CoRR abs/2110.09541 (2021) - [i5]Marius Arvinte, Jonathan I. Tamir:
Deep Diffusion Models for Robust Channel Estimation. CoRR abs/2111.08177 (2021) - 2020
- [j3]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): 94-104 (2020) - [j2]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: 1403-1414 (2020) - [i4]Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller:
Memory-efficient Learning for Large-scale Computational Imaging. CoRR abs/2003.05551 (2020) - [i3]Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir:
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference. CoRR abs/2011.00194 (2020)
2010 – 2019
- 2019
- [c7]Yushan Su, Michael Anderson, Jonathan I. Tamir, Michael Lustig, Kai Li:
Compressed Sensing MRI Reconstruction on Intel HARPv2. FCCM 2019: 254-257 - [i2]Michael R. Kellman, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller:
Memory-efficient Learning for Large-scale Computational Imaging. CoRR abs/1912.05098 (2019) - 2018
- [b1]Jonathan I. Tamir:
MR Shuffling: Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging. University of California, Berkeley, USA, 2018 - [c6]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: 495-504 - [i1]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 abs/1809.04195 (2018) - 2015
- [j1]Jonathan I. Tamir, Dan E. Tamir, Wilhelmus J. Geerts, Shlomi Dolev:
Compressive scanning of an object signature. Nat. Comput. 14(3): 457-467 (2015) - 2014
- [c5]Jonathan I. Tamir, Ethan R. Elenberg, Anurag Banerjee, Sriram Vishwanath:
Wireless index coding through rank minimization. ICC 2014: 5209-5214 - 2012
- [c4]Jonathan I. Tamir, Theodore S. Rappaport, Yonina C. Eldar, Ahsan Aziz:
Analog compressed sensing for RF propagation channel sounding. ICASSP 2012: 5317-5320 - [c3]Jonathan I. Tamir, Dan E. Tamir, Shlomi Dolev:
Object Signature Acquisition through Compressive Scanning. OSC 2012: 105-116 - [c2]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: 151-154 - [c1]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: 3085-3090
Coauthor Index
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