Reinhard Heckel
24 papers · 2017–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 25% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Reinhard Heckel?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Mohammad Zalbagi Darestani, Daniel LeJeune, Akshay S Chaudhari
6 papers
· 2019–2025
· ICML, WACV, JMLR
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Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
ICML 2025
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
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
ICML 2022
Measuring Robustness in Deep Learning Based Compressive Sensing
ICML 2021
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations
AISTATS 2019
4 papers whose co-authors appear nowhere else under this name
Provable Continual Learning via Sketched Jacobian Approximations
AISTATS 2022
Early Stopping in Deep Networks: Double Descent and How to Eliminate it
ICLR 2021
Interpolation can hurt robust generalization even when there is no noise
NeurIPS 2021
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
ICLR 2019