Michael Moeller
20 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐ Renaissance Researcher (7) ๐ Interdisciplinary Bridge ๐ Academic Marathon (10) ๐ Conference Polyglot (7) ๐บ๏ธ Taxonomy Completionist (23)
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Taxonomy Completionist
(23)
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Keyword Pioneer
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Topic Evolution
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Keyword Champion
(2)
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Prolific Year
(5)
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Conference Pioneer
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The Questioner
(2)
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Keyword Collector
(58)
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Unstoppable
(8)
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Century Club
(20)
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Trend Setter
Conferences
ICCV (5)
ICLR (5)
CVPR (4)
ECCV (2)
NIPS (2)
ICML (1)
MIDL (1)
Top co-authors
Research topics
Keywords
combinatorial optimization
(3)
shape matching
(3)
quantum annealing
(3)
image reconstruction
(3)
neural network
(2)
energy minimization
(2)
permutation matrix
(2)
convex optimization
(1)
semidefinite programming
(1)
privacy attack
(1)
assignment problem
(1)
primal-dual optimization
(1)
graph matching
(1)
non-rigid matching
(1)
adversarial robustness
(1)
low-rank approximation
(1)
point set registration
(1)
image denoising
(1)
convex relaxation
(1)
geometric deep learning
(1)
Papers
QuCOOP: A Versatile Framework for Solving Composite and Binary-Parametrised Problems on Quantum Annealers
CVPR 2025
Implicit Representations for Constrained Image Segmentation
ICML 2024
Evaluating Adversarial Robustness of Low dose CT Recovery
MIDL 2023
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
CVPR 2023
QuAnt: Quantum Annealing with Learnt Couplings
ICLR 2023
SIGMA: Scale-Invariant Global Sparse Shape Matching
ICCV 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
NIPS 2023
Intrinsic Neural Fields: Learning Functions on Manifolds
ECCV 2022
Stochastic Training is Not Necessary for Generalization
ICLR 2022
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
ICLR 2021
Q-Match: Iterative Shape Matching via Quantum Annealing
ICCV 2021
Inverting Gradients - How easy is it to break privacy in federated learning?
NIPS 2020
Truth or backpropaganda? An empirical investigation of deep learning theory
ICLR 2020
Parametric Majorization for Data-Driven Energy Minimization Methods
ICCV 2019
Controlling Neural Networks via Energy Dissipation
ICCV 2019
Proximal Backpropagation
ICLR 2018
Lifting Layers: Analysis and Applications
ECCV 2018
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems
CVPR 2018
Sublabel-Accurate Relaxation of Nonconvex Energies
CVPR 2016
Learning Nonlinear Spectral Filters for Color Image Reconstruction
ICCV 2015