Tom Tirer

According to our database, Tom Tirer authored at least 44 papers between 2016 and 2025.

Collaborative distances:

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

2025

(SP)²-Net: A Neural Spatial Spectrum Method for DOA Estimation.

Lioz Berman, Sharon Gannot, Tom Tirer

CoRR, September, 2025

Efficient Conformal Prediction for Regression Models under Label Noise.

Yahav Cohen, Jacob Goldberger, Tom Tirer

CoRR, September, 2025

Catastrophic Forgetting Mitigation Through Plateau Phase Activity Profiling.

Idan Mashiach, Oren Glickman, Tom Tirer

CoRR, July, 2025

SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training.

Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum

CoRR, May, 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, February, 2025

Unveiling Multiple Descents in Unsupervised Autoencoders.

Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum

Trans. Mach. Learn. Res., 2025

Can Kernel Methods Explain How the Data Affects Neural Collapse?

Vignesh Kothapalli, Tom Tirer

Trans. Mach. Learn. Res., 2025

Zero-Shot Image Restoration via Few-Step Guidance of Consistency Models.

Tomer Garber, Tom Tirer

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond).

Tomer Garber, Tom Tirer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Deep Internal Learning: Deep learning from a single input.

Tom Tirer, Raja Giryes, Se Young Chun, Yonina C. Eldar

IEEE Signal Process. Mag., July, 2024

Multiple Descents in Unsupervised Learning: The Role of Noise, Domain Shift and Anomalies.

Kobi Rahimi, Tom Tirer, Ofir Lindenbaum

CoRR, 2024

Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse.

Vignesh Kothapalli, Tom Tirer

CoRR, 2024

On Calibration and Conformal Prediction of Deep Classifiers.

Lahav Dabah, Tom Tirer

CoRR, 2024

Iteratively Preconditioned Guidance of Denoising (Diffusion) Models For Image Restoration.

Tom Tirer

Proceedings of the IEEE International Conference on Acoustics, 2024

Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance.

Tomer Garber, Tom Tirer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Performance Analysis of Automotive SAR With Radar Based Motion Estimation.

Oded Bialer, Tom Tirer

IEEE Trans. Veh. Technol., September, 2023

A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks.

Vignesh Kothapalli, Tom Tirer, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Perturbation Analysis of Neural Collapse.

Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed

Proceedings of the International Conference on Machine Learning, 2023

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

ADIR: Adaptive Diffusion for Image Reconstruction.

Shady Abu-Hussein, Tom Tirer, Raja Giryes

CoRR, 2022

Image Restoration by Deep Projected GSURE.

Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Extended Unconstrained Features Model for Exploring Deep Neural Collapse.

Tom Tirer, Joan Bruna

Proceedings of the International Conference on Machine Learning, 2022

2021

Code Optimization for Fast Chirp FMCW Automotive MIMO Radar.

Oded Bialer, Amnon Jonas, Tom Tirer

IEEE Trans. Veh. Technol., 2021

On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective.

Tom Tirer, Raja Giryes

SIAM J. Imaging Sci., 2021

Kernel-Based Smoothness Analysis of Residual Networks.

Tom Tirer, Joan Bruna, Raja Giryes

Proceedings of the Mathematical and Scientific Machine Learning, 2021

An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term.

Einav Yogev-Ofer, Tom Tirer, Raja Giryes

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Direction Of Arrival Estimation For Non-Coherent Sub-Arrays Via Joint Sparse And Low-Rank Signal Recovery.

Tom Tirer, Oded Bialer

Proceedings of the IEEE International Conference on Acoustics, 2021

Code Design For Automotive MIMO Radar.

Oded Bialer, Amnon Jonas, Tom Tirer

Proceedings of the 29th European Signal Processing Conference, 2021

2020

A Method for Reducing the Performance Gap Between Non-Coherent and Coherent Sub-Arrays.

Tom Tirer, Oded Bialer

IEEE Trans. Signal Process., 2020

Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems.

Tom Tirer, Raja Giryes

IEEE Trans. Image Process., 2020

Effective Approximate Maximum Likelihood Estimation of Angles of Arrival for Non-Coherent Sub-Arrays.

Tom Tirer, Oded Bialer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

BP-DIP: A Backprojection based Deep Image Prior.

Jenny Zukerman, Tom Tirer, Raja Giryes

Proceedings of the 28th European Signal Processing Conference, 2020

Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers.

Shady Abu Hussein, Tom Tirer, Raja Giryes

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Image-Adaptive GAN Based Reconstruction.

Shady Abu Hussein, Tom Tirer, Raja Giryes

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Image Restoration by Iterative Denoising and Backward Projections.

Tom Tirer, Raja Giryes

IEEE Trans. Image Process., 2019

Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning.

Tom Tirer, Raja Giryes

IEEE Signal Process. Lett., 2019

Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation.

Oded Bialer, Noa Garnett, Tom Tirer

Proceedings of the IEEE International Conference on Acoustics, 2019

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

An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring.

Tom Tirer, Raja Giryes

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Task-Driven Dictionary Learning based on Convolutional Neural Network Features.

Tom Tirer, Raja Giryes

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Performance Analysis of a High-Resolution Direct Position Determination Method.

Tom Tirer, Anthony J. Weiss

IEEE Trans. Signal Process., 2017

High resolution localization of narrowband radio emitters based on doppler frequency shifts.

Tom Tirer, Anthony J. Weiss

Signal Process., 2017

Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces.

Tom Tirer, Raja Giryes

CoRR, 2017

2016

High Resolution Direct Position Determination of Radio Frequency Sources.

Tom Tirer, Anthony J. Weiss

IEEE Signal Process. Lett., 2016