default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJonathan I. Tamir
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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) - [i21]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) - [i20]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) - [i19]Dhanush Tella, Chandra Teja Tiriveedhi, Naphtali Rishe, Dan E. Tamir, Jonathan I. Tamir:
Evaluating Neural Networks for Early Maritime Threat Detection. CoRR abs/2410.20054 (2024) - [i18]Yamin Arefeen, Brett Levac, Jonathan I. Tamir:
Accelerated, Robust Lower-Field Neonatal MRI with Generative Models. CoRR abs/2410.21602 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 01:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
