High Resolution Direct Position Determination of Radio Frequency Sources. - Tom Tirer; Anthony J. Weiss (IEEE Signal Process. Lett., 2016)

Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces. - Tom Tirer; Raja Giryes (CoRR, 2017)

High resolution localization of narrowband radio emitters based on doppler frequency shifts. - Tom Tirer; Anthony J. Weiss (Signal Process., 2017)

Performance Analysis of a High-Resolution Direct Position Determination Method. - Tom Tirer; Anthony J. Weiss (IEEE Trans. Signal Process., 2017)

Task-Driven Dictionary Learning based on Convolutional Neural Network Features. - Tom Tirer; Raja Giryes (EUSIPCO, 2018)

An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring. - Tom Tirer; Raja Giryes (ICIP, 2018)

Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time. - Tom Tirer; Raja Giryes (CoRR, 2018)

Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation. - Oded Bialer; Noa Garnett; Tom Tirer (ICASSP, 2019)

Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning. - Tom Tirer; Raja Giryes (IEEE Signal Process. Lett., 2019)

Image Restoration by Iterative Denoising and Backward Projections. - Tom Tirer; Raja Giryes (IEEE Trans. Image Process., 2019)

Image-Adaptive GAN Based Reconstruction. - Shady Abu Hussein; Tom Tirer; Raja Giryes (AAAI, 2020)

Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. - Shady Abu Hussein; Tom Tirer; Raja Giryes (CVPR, 2020)

BP-DIP: A Backprojection based Deep Image Prior. - Jenny Zukerman; Tom Tirer; Raja Giryes (EUSIPCO, 2020)

Effective Approximate Maximum Likelihood Estimation of Angles of Arrival for Non-Coherent Sub-Arrays. - Tom Tirer; Oded Bialer (ICASSP, 2020)

Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems. - Tom Tirer; Raja Giryes (IEEE Trans. Image Process., 2020)

A Method for Reducing the Performance Gap Between Non-Coherent and Coherent Sub-Arrays. - Tom Tirer; Oded Bialer (IEEE Trans. Signal Process., 2020)

Code Design For Automotive MIMO Radar. - Oded Bialer; Amnon Jonas; Tom Tirer (EUSIPCO, 2021)

Direction Of Arrival Estimation For Non-Coherent Sub-Arrays Via Joint Sparse And Low-Rank Signal Recovery. - Tom Tirer; Oded Bialer (ICASSP, 2021)

An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term. - Einav Yogev-Ofer; Tom Tirer; Raja Giryes (ICIP, 2021)

Kernel-Based Smoothness Analysis of Residual Networks. - Tom Tirer; Joan Bruna; Raja Giryes (MSML, 2021)

On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective. - Tom Tirer; Raja Giryes (SIAM J. Imaging Sci., 2021)

Code Optimization for Fast Chirp FMCW Automotive MIMO Radar. - Oded Bialer; Amnon Jonas; Tom Tirer (IEEE Trans. Veh. Technol., 2021)

Extended Unconstrained Features Model for Exploring Deep Neural Collapse. - Tom Tirer; Joan Bruna (ICML, 2022)

Image Restoration by Deep Projected GSURE. - Shady Abu-Hussein; Tom Tirer; Se Young Chun; Yonina C. Eldar; Raja Giryes (WACV, 2022)

ADIR: Adaptive Diffusion for Image Reconstruction. - Shady Abu-Hussein; Tom Tirer; Raja Giryes (CoRR, 2022)

Direction of Arrival Estimation and Phase-Correction for Noncoherent Subarrays: A Convex Optimization Approach. - Tom Tirer; Oded Bialer (IEEE Trans. Aerosp. Electron. Syst., 2022)

Perturbation Analysis of Neural Collapse. - Tom Tirer; Haoxiang Huang; Jonathan Niles-Weed (ICML, 2023)

A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks. - Vignesh Kothapalli; Tom Tirer; Joan Bruna (NeurIPS, 2023)

Performance Analysis of Automotive SAR With Radar Based Motion Estimation. - Oded Bialer; Tom Tirer (IEEE Trans. Veh. Technol., 2023)

Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance. - Tomer Garber; Tom Tirer (CVPR, 2024)

Iteratively Preconditioned Guidance of Denoising (Diffusion) Models For Image Restoration. - Tom Tirer (ICASSP, 2024)

On Calibration and Conformal Prediction of Deep Classifiers. - Lahav Dabah; Tom Tirer (CoRR, 2024)

Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse. - Vignesh Kothapalli; Tom Tirer (CoRR, 2024)

Multiple Descents in Unsupervised Learning: The Role of Noise, Domain Shift and Anomalies. - Kobi Rahimi; Tom Tirer; Ofir Lindenbaum (CoRR, 2024)

Deep Internal Learning: Deep learning from a single input. - Tom Tirer; Raja Giryes; Se Young Chun; Yonina C. Eldar (IEEE Signal Process. Mag., 2024)

Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond). - Tomer Garber; Tom Tirer (CVPR, 2025)

Zero-Shot Image Restoration via Few-Step Guidance of Consistency Models. - Tomer Garber; Tom Tirer (ICASSP, 2025)

Can Kernel Methods Explain How the Data Affects Neural Collapse? - Vignesh Kothapalli; Tom Tirer (Trans. Mach. Learn. Res., 2025)

LORENZA: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM. - Yehonathan Refael; Iftach Arbel; Ofir Lindenbaum; Tom Tirer (CoRR, 2025)

SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training. - Yehonathan Refael; Guy Smorodinsky; Tom Tirer; Ofir Lindenbaum (CoRR, 2025)

Catastrophic Forgetting Mitigation Through Plateau Phase Activity Profiling. - Idan Mashiach; Oren Glickman; Tom Tirer (CoRR, 2025)