Tirer, Tom

12 publications

TMLR 2025 Can Kernel Methods Explain How the Data Affects Neural Collapse? Vignesh Kothapalli, Tom Tirer

ICML 2025 On Temperature Scaling and Conformal Prediction of Deep Classifiers Lahav Dabah, Tom Tirer

NeurIPS 2025 SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum

TMLR 2025 Unveiling Multiple Descents in Unsupervised Autoencoders Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum

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

CVPR 2024 Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance Tomer Garber, Tom Tirer

NeurIPSW 2024 Toward Understanding How the Data Affects Neural Collapse: A Kernel-Based Approach Vignesh Kothapalli, Tom Tirer

NeurIPS 2023 A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli, Tom Tirer, Joan Bruna

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

ICML 2022 Extended Unconstrained Features Model for Exploring Deep Neural Collapse Tom Tirer, Joan Bruna

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

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