activity
20242026
collaborators

9 papers

eess.IV2026

Awaken, Then Scale: Tiny Adaptation for MRI Reconstruction

Mohammed Wattad, Tamir Shor, Alexander M. Bronstein

Dormant Awakening (DA) specializes a magnetic resonance imaging (MRI) reconstruction model by fitting a small set of zero weights to one labeled slice. Across fourteen U-shaped con…

eess.IV2026

Beyond Sparsity: Weight Location and Network Context in Pruned MRI Reconstruction

Mohammed Wattad, Tamir Shor, Alexander M. Bronstein

Pruning reduces the number of weights in magnetic resonance imaging (MRI) reconstruction networks. Equal sparsity, however, can retain weights with different computational roles an…

eess.IV2025

T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration

Tamir Shor, Moti Freiman, Chaim Baskin +1

Cardiac T1 mapping provides critical quantitative insights into myocardial tissue composition, enabling the assessment of pathologies such as fibrosis, inflammation, and edema. How…

cs.SD2025

On Adversarial Attacks In Acoustic Drone Localization

Tamir Shor, Chaim Baskin, Alex Bronstein

Multi-rotor aerial autonomous vehicles (MAVs, more widely known as "drones") have been generating increased interest in recent years due to their growing applicability in a vast an…

cs.LG2025

Adversarial Attacks in Weight-Space Classifiers

Tamir Shor, Ethan Fetaya, Chaim Baskin +1

Implicit Neural Representations (INRs) have been recently garnering increasing interest in various research fields, mainly due to their ability to represent large, complex data in…

cs.CL2024

Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods

Tsachi Blau, Moshe Kimhi, Yonatan Belinkov +2

Fine-tuning Large Language Models (LLMs) typically involves updating at least a few billions of parameters. A more parameter-efficient approach is Prompt Tuning (PT), which updates…

eess.IV2024

TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories

Tamir Shor, Chaim Baskin, Alex Bronstein

Dynamic Magnetic Resonance Imaging (MRI) is a crucial non-invasive method used to capture the movement of internal organs and tissues, making it a key tool for medical diagnosis. H…

eess.IV2024

Leveraging Latents for Efficient Thermography Classification and Segmentation

Tamir Shor, Chaim Baskin, Alex Bronstein

Breast cancer is a prominent health concern worldwide, currently being the secondmost common and second-deadliest type of cancer in women. While current breast cancer diagnosis mai…

cs.RO2024

Active propulsion noise shaping for multi-rotor aircraft localization

Gabriele Serussi, Tamir Shor, Tom Hirshberg +2

Multi-rotor aerial autonomous vehicles (MAVs) primarily rely on vision for navigation purposes. However, visual localization and odometry techniques suffer from poor performance in…