Jonathan I. Tamir

Orcid: 0000-0001-9113-9566

According to our database1, Jonathan I. Tamir authored at least 44 papers between 2012 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Polynomial Preconditioners for Regularized Linear Inverse Problems.
SIAM J. Imaging Sci., March, 2024

Differentiable Rendering for Synthetic Aperture Radar Imagery.
IEEE Trans. Aerosp. Electron. Syst., February, 2024

Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising.
CoRR, 2024

Accelerated, Robust Lower-Field Neonatal MRI with Generative Models.
CoRR, 2024

Evaluating Neural Networks for Early Maritime Threat Detection.
CoRR, 2024

INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction.
CoRR, 2024

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data.
CoRR, 2024

Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world.
AI Mag., 2024

2023
MIMO Channel Estimation Using Score-Based Generative Models.
IEEE Trans. Wirel. Commun., June, 2023

SubZero: Subspace Zero-Shot MRI Reconstruction.
CoRR, 2023

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models.
CoRR, 2023

Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space.
Proceedings of the Medical Imaging with Deep Learning, 2023

Accelerated Motion Correction for MRI Using Score-Based Generative Models.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MRI Reconstruction with Side Information using Diffusion Models.
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.
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.
EURASIP J. Wirel. Commun. Netw., 2022

High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting.
CoRR, 2022

Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning.
CoRR, 2022

Wideband and Entropy-Aware Deep Soft Bit Quantization.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Score-Based Generative Models for Robust Channel Estimation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

FSE Compensated Motion Correction for MRI Using Data Driven Methods.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Deep Diffusion Models for Robust Channel Estimation.
CoRR, 2021

Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results.
CoRR, 2021

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss.
CoRR, 2021

eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction.
CoRR, 2021

Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI.
CoRR, 2021

Robust Compressed Sensing MRI with Deep Generative Priors.
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.
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.
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.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Memory-Efficient Learning for Large-Scale Computational Imaging.
IEEE Trans. Computational Imaging, 2020

Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging.
IEEE Signal Process. Mag., 2020

Memory-efficient Learning for Large-scale Computational Imaging.
CoRR, 2020

2019
Memory-efficient Learning for Large-scale Computational Imaging.
CoRR, 2019

Compressed Sensing MRI Reconstruction on Intel HARPv2.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018
MR Shuffling: Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging
PhD thesis, 2018

Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging.
CoRR, 2018

Indigo: A Domain-Specific Language for Fast, Portable Image Reconstruction.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2015
Compressive scanning of an object signature.
Nat. Comput., 2015

2014
Wireless index coding through rank minimization.
Proceedings of the IEEE International Conference on Communications, 2014

2012
A 38 GHz cellular outage study for an urban outdoor campus environment.
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).
Proceedings of the 2012 IEEE Radio and Wireless Symposium, 2012

Object Signature Acquisition through Compressive Scanning.
Proceedings of the Optical Supercomputing - 4th International Workshop, 2012

Analog compressed sensing for RF propagation channel sounding.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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