Reinhard Heckel
24 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (9)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(8)
🏆
Keyword Champion
(3)
👑
Triple Crown
👥
Mega-Team
(60)
🗃️
Keyword Collector
(69)
⚡
Prolific Year
(6)
💎
Century Club
(24)
🔥
Unstoppable
(9)
Conferences
ICML (7)
NIPS (5)
ICLR (4)
AISTATS (3)
CVPR (1)
ECCV (1)
JMLR (1)
MIDL (1)
WACV (1)
Top co-authors
Keywords
image reconstruction
(6)
magnetic resonance imaging
(4)
image restoration
(3)
accelerated mri
(3)
self-supervised learning
(2)
image denoising
(2)
test-time training
(2)
compressive sensing
(2)
ridge regularization
(2)
inverse problem
(2)
distribution shift
(2)
sample complexity
(2)
domain adaptation
(2)
deep learning
(2)
mri reconstruction
(2)
data augmentation
(1)
medical imaging
(1)
adversarial robustness
(1)
motion estimation
(1)
vision transformer
(1)
Papers
Language models scale reliably with over-training and on downstream tasks
ICLR 2025
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
ICML 2025
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
ICML 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction
WACV 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
JMLR 2024
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
NIPS 2024
TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts
ECCV 2024
Scaling Laws For Deep Learning Based Image Reconstruction
ICLR 2023
Learning Provably Robust Estimators for Inverse Problems via Jittering
NIPS 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
NIPS 2023
Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data
CVPR 2023
Vision Transformers Enable Fast and Robust Accelerated MRI
MIDL 2022
Provable Continual Learning via Sketched Jacobian Approximations
AISTATS 2022
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
ICML 2022
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
ICML 2021
Interpolation can hurt robust generalization even when there is no noise
NIPS 2021
Early Stopping in Deep Networks: Double Descent and How to Eliminate it
ICLR 2021
Measuring Robustness in Deep Learning Based Compressive Sensing
ICML 2021
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation
ICML 2020
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
ICLR 2019
Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations
AISTATS 2019
Approximate Ranking from Pairwise Comparisons
AISTATS 2018
The Sample Complexity of Online One-Class Collaborative Filtering
ICML 2017