Alex Bronstein

18 papers · 2017–2026 · 9 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (43) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Silver 🚀 Conference Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (90)

Venues

AAAI (3) CVPR (3) MIDL (3) ECCV (2) ICCV (2) NeurIPS (2) AISTATS (1) ICLR (1) WACV (1)

Top co-authors

Leonid Karlinsky (5) Rogerio Feris (3) Joseph Shtok (3) Raja Giryes (3) Elad Amrani (3) Emanuele Rodolà (3) Eli Schwartz (3) Michael Bronstein (2) Chaim Baskin (2) Prasanna Sattigeri (2)

Research topics

Machine Learning (13) Deep Learning (11) Computer Vision (8) Core Methods (6) Artificial Intelligence (5) Analysis (5) Learning Types · Machine Learning (5) Architectures (4) Mathematics & Optimization (3) Core AI (3) Learning Types · Deep Learning (3) Models (3) Application Areas (2) Learning Paradigms (2) Mathematics (2)

Keywords

image reconstruction (3) neural network (2) weakly supervised learning (2) manifold learning (2) compressed sensing (2) image segmentation (1) non-rigid matching (1) one-shot learning (1) few-shot learning (1) 3d reconstruction (1) adversarial robustness (1) density estimation (1) object recognition (1) shape correspondence (1) self-supervised learning (1) optimal transport (1) medical imaging (1) adversarial learning (1) multimodal learning (1) image classification (1)

Papers

T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration MIDL 2026 A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025 Class-Conditioned Transformation for Enhanced Robust Image Classification WACV 2025 Sample- and Parameter-Efficient Auto-Regressive Image Models CVPR 2025 Vector Quantile Regression on Manifolds AISTATS 2024 Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI MIDL 2023 Self-Supervised Classification Network ECCV 2022 Detector-Free Weakly Supervised Grounding by Separation ICCV 2021 Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning AAAI 2021 StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021 Robust Quantization: One Model to Rule Them All NeurIPS 2020 The Shape of Data: Intrinsic Distance for Data Distributions ICLR 2020 Learning beamforming in ultrasound imaging MIDL 2019 Deformable Shape Completion With Graph Convolutional Autoencoders CVPR 2018 Delta-encoder: an effective sample synthesis method for few-shot object recognition NeurIPS 2018 ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks ECCV 2018 Deep Functional Maps: Structured Prediction for Dense Shape Correspondence ICCV 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017