publications | Claudio Mayrink Verdun

2024

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, and 1 more author

NeurIPS (Spotlight, top 3%), 2024

@article{hoppe2024non,
  title = {Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning},
  author = {Hoppe, Frederik and Verdun, Claudio Mayrink and Laus, Hannah and Krahmer, Felix and Rauhut, Holger},
  journal = {NeurIPS (Spotlight, top 3%)},
  volume = {34},
  pages = {2873--2886},
  year = {2024},
}

Measuring progress in dictionary learning for language model interpretability with board game models

Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, and 5 more authors

NeurIPS, 2024

Bib HTML

@article{karvonen2024measuring,
  title = {Measuring progress in dictionary learning for language model interpretability with board game models},
  author = {Karvonen, Adam and Wright, Benjamin and Rager, Can and Angell, Rico and Brinkmann, Jannik and Smith, Logan and Verdun, Claudio Mayrink and Bau, David and Marks, Samuel},
  journal = {NeurIPS},
  volume = {34},
  pages = {2873--2886},
  year = {2024},
}

Multi-Group Proportional Representation

Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alex Glynn, and 4 more authors

NeurIPS, 2024

Bib HTML

@article{oesterling2024multi,
  title = {Multi-Group Proportional Representation},
  author = {Oesterling, Alex and Mayrink Verdun, Claudio and Long, Carol Xuan and Glynn, Alex and Paes, Lucas Monteiro and Vithana, Sajani and Cardone, Martina and Calmon, Flavio P},
  journal = {NeurIPS},
  volume = {34},
  pages = {2873--2886},
  year = {2024},
}

Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, and 3 more authors

In ECCV, 2024

Bib HTML

@inproceedings{hoppe2024confidence,
  title = {Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images},
  author = {Hoppe, Frederik and Mayrink Verdun, Claudio and Laus, Hannah and Endt, Sebastian and Menzel, Marion and Krahmer, Felix and Rauhut, Holger},
  booktitle = {ECCV},
  pages = {1--19},
  year = {2024},
  organization = {Springer International Publishing}
}

Fast, blind, and accurate: Tunning-free sparse regression with global linear convergence

Claudio Mayrink Verdun, Oleh Melnyk, Felix Krahmer, and Peter Jung

In COLT, 2024

Bib HTML

@inproceedings{jung2024regression,
  title = {Fast, blind, and accurate: Tunning-free sparse regression with global linear convergence},
  author = {Mayrink Verdun, Claudio and Melnyk, Oleh and Krahmer, Felix and Jung, Peter},
  booktitle = {COLT},
  pages = {1--45},
  year = {2024},
  organization = {IEEE}
}

With or Without Replacement? Improving Confidence in Fourier Imaging

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion Menzel, and 1 more author

In COSERA, 2024

Bib HTML

@inproceedings{hoppe2024replacement,
  title = {With or Without Replacement? Improving Confidence in Fourier Imaging},
  author = {Hoppe, Frederik and Mayrink Verdun, Claudio and Krahmer, Felix and Menzel, Marion and Rauhut, Holger},
  booktitle = {COSERA},
  pages = {1--45},
  year = {2024},
  organization = {IEEE}
}

AI Technologies: Algorithmic Monocultures, Arbitrariness, and Global Divides

Claudio Mayrink Verdun, Camila A Tsuzuki, Caio V Machado, Juan Felipe Gomez, and 2 more authors

In T20 conference, 2024

Bib HTML

@inproceedings{mayrinkverdun2024monocultures,
  title = {AI Technologies: Algorithmic Monocultures, Arbitrariness, and Global Divides},
  author = {Mayrink Verdun, Claudio and Tsuzuki, Camila A and Machado, Caio V and Gomez, Juan Felipe and Monteiro Paes, Lucas and Calmon, Flavio P},
  booktitle = {T20 conference},
  pages = {1--45},
  year = {2024},
  organization = {G20 summit}
}

2023

Uncertainty quantification for learned ISTA

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, and 1 more author

In MLSP, 2023

Bib HTML

@inproceedings{hoppe2023uncertainty,
  title = {Uncertainty quantification for learned ISTA},
  author = {Hoppe, Frederik and Mayrink Verdun, Claudio and Laus, Hannah and Krahmer, Felix and Rauhut, Holger},
  booktitle = {MLSP},
  pages = {1--6},
  year = {2023},
  organization = {IEEE}
}

In-vivo myelin water quantification using diffusion-relaxation correlation MRI: a comparison of 1D and 2D methods

Sebastian Endt, Maria Engel, Emanuele Naldi, Rodolfo Assereto, and 7 more authors

Applied Magnetic Resonance, 2023

Bib HTML

@article{endt2023vivo,
  title = {In-vivo myelin water quantification using diffusion-relaxation correlation MRI: a comparison of 1D and 2D methods},
  author = {Endt, Sebastian and Engel, Maria and Naldi, Emanuele and Assereto, Rodolfo and Molendowska, Malwina and M{\"u}ller, Lars and Mayrink Verdun, Claudio and Pirkl, Carolin M. and Palombo, Marco and Jones, DereK K. and Menzel, Marion I.},
  journal = {Applied Magnetic Resonance},
  volume = {54},
  pages = {1571–1588},
  year = {2023}
}

Sampling Strategies for Compressive Imaging Under Statistical Noise

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I Menzel, and 1 more author

In SampTA 2023, 2023

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High-Dimensional Confidence Regions in Sparse MRI

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, and 1 more author

In ICASSP (Best Student Paper Award), 2023

Bib HTML

@inproceedings{hoppe2023high,
  title = {High-Dimensional Confidence Regions in Sparse MRI},
  author = {Hoppe, Frederik and Krahmer, Felix and Mayrink Verdun, Claudio and Menzel, Marion I. and Rauhut, Holger},
  booktitle = {ICASSP (Best Student Paper Award)},
  pages = {1--5},
  year = {2023},
  organization = {IEEE},
}

2022

Uncertainty quantification for sparse Fourier recovery

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I Menzel, and 1 more author

arXiv preprint arXiv:2212.14864, 2022

Bib HTML

@article{hoppe2022uncertainty,
  title = {Uncertainty quantification for sparse Fourier recovery},
  author = {Hoppe, Frederik and Krahmer, Felix and Verdun, Claudio Mayrink and Menzel, Marion I and Rauhut, Holger},
  journal = {arXiv preprint arXiv:2212.14864},
  year = {2022}
}

Non-negative least squares via overparametrization

Hung-Hsu Chou, Johannes Maly, and Claudio Mayrink Verdun

arXiv preprint arXiv:2207.08437, 2022

Bib HTML

@article{chou2022non,
  title = {Non-negative least squares via overparametrization},
  author = {Chou, Hung-Hsu and Maly, Johannes and Mayrink Verdun, Claudio},
  journal = {arXiv preprint arXiv:2207.08437},
  year = {2022}
}

2021

Unmixing tissue compartments via deep learning T1-T2-relaxation correlation imaging

Sebastian Endt, Carolin M Pirkl, Claudio M Verdun, Bjoern H Menze, and 1 more author

In 17th International Symposium on Medical Information Processing and Analysis, 2021

A scalable second order method for ill-conditioned matrix completion from few samples

Christian Kümmerle, and Claudio Mayrink Verdun

In ICML, 2021

Bib HTML

@inproceedings{kummerle2021scalable,
  title = {A scalable second order method for ill-conditioned matrix completion from few samples},
  author = {K{\"u}mmerle, Christian and Mayrink Verdun, Claudio},
  booktitle = {ICML},
  pages = {5872--5883},
  year = {2021},
  organization = {PMLR},
}

Group testing for SARS-CoV-2 allows for up to 10-fold efficiency increase across realistic scenarios and testing strategies

Claudio Mayrink Verdun, Tim Fuchs, Pavol Harar, Dennis Elbrächter, and 5 more authors

Frontiers in Public Health (highlighted by David Donoho at https://www.youtube.com/watch?v=VOzl-RC4IIs, 2021

Bib HTML

@article{verdun2021group,
  title = {Group testing for SARS-CoV-2 allows for up to 10-fold efficiency increase across realistic scenarios and testing strategies},
  author = {Mayrink Verdun, Claudio and Fuchs, Tim and Harar, Pavol and Elbr{\"a}chter, Dennis and Fischer, David S and Berner, Julius and Grohs, Philipp and Theis, Fabian J and Krahmer, Felix},
  journal = {Frontiers in Public Health (highlighted by David Donoho at https://www.youtube.com/watch?v=VOzl-RC4IIs},
  volume = {9},
  pages = {583377},
  year = {2021},
  publisher = {Frontiers Media SA},
}

Iteratively reweighted least squares for basis pursuit with global linear convergence rate

Christian Kümmerle, Claudio Mayrink Verdun, and Dominik Stöger

NeurIPS (Spotlight, top 3%), 2021

Bib HTML

@article{kummerle2021iteratively,
  title = {Iteratively reweighted least squares for basis pursuit with global linear convergence rate},
  author = {K{\"u}mmerle, Christian and Mayrink Verdun, Claudio and St{\"o}ger, Dominik},
  journal = {NeurIPS (Spotlight, top 3%)},
  volume = {34},
  pages = {2873--2886},
  year = {2021},
}

2020

Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method

Christian Kümmerle, and Claudio Mayrink Verdun

In ICML Workshop - “Beyond first-order methods in ML systems”, 2020

Bib

@inproceedings{kuemmerle_verdun,
  author = {K\"ummerle, Christian and Mayrink Verdun, Claudio},
  booktitle = {ICML Workshop - ``Beyond first-order methods in ML systems''},
  pages = {},
  title = {Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method},
  year = {2020}
}

2019

Completion of structured low-rank matrices via iteratively reweighted least squares

Christian Kümmerle, and Claudio M Verdun

In SampTA, 2019

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