Claudio Mayrink Verdun

36 papers A* 7A 1B 2Misc 1Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating large language models' ability to automate spear phishing.
Expert Syst. Appl.
Fredrik Heiding, Simon Lermen, Andrew Kao, Claudio Mayrink Verdun, Bruce Schneier, Arun Vishwanath
2025 — conf
AI Alignment at Your Discretion.
FAccT
Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Cesar Vieira Machado, Flávio du Pin Calmon
2025 J jnl
AI Alignment at Your Discretion.
CoRR
Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Vieira Machado, Flávio P. Calmon
2025 A conf
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias.
AISTATS
Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun, Bernardo Freitas Paulo da Costa, Heudson Mirandola
2025 J jnl
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection.
CoRR
Mariia Seleznova, Hung-Hsu Chou, Claudio Mayrink Verdun, Gitta Kutyniok
2025 J jnl
HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions.
CoRR
Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Hsiang Hsu, Chen-Fu Chen, Haim H. Permuter, Sajani Vithana, Flávio P. Calmon
2025 J jnl
Inference-Time Reward Hacking in Large Language Models.
CoRR
Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio du Pin Calmon
2025 J jnl
Multi-Group Proportional Representation for Text-to-Image Models.
CoRR
Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flávio P. Calmon
2025 A* conf
Multi-Group Proportional Representations for Text-to-Image Models.
CVPR
Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flávio P. Calmon
2025 B conf
Optimized Couplings for Watermarking Large Language Models.
ISIT
Carol Xuan Long, Dor Tsur, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flávio P. Calmon
2025 J jnl
Optimized Couplings for Watermarking Large Language Models.
CoRR
Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flávio P. Calmon
2025 J jnl
ProofCompass: Enhancing Specialized Provers with LLM Guidance.
CoRR
Nicolas Wischermann, Claudio Mayrink Verdun, Gabriel Poesia, Francesco Noseda
2025 B conf
Soft Best-of-$n$ Sampling for Model Alignment.
ISIT
Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio P. Calmon
2025 J jnl
Soft Best-of-n Sampling for Model Alignment.
CoRR
Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio P. Calmon
2025 J jnl
Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability.
CoRR
Usha Bhalla, Alex Oesterling, Claudio Mayrink Verdun, Himabindu Lakkaraju, Flávio P. Calmon
2024 A* conf
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence.
COLT
Claudio Mayrink Verdun, Oleh Melnyk, Felix Krahmer, Peter Jung
2024 J jnl
High-Dimensional Confidence Regions in Sparse MRI.
CoRR
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2024 — conf
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.
ECCV (78)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut
2024 A* conf
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models.
NeurIPS
Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks
2024 J jnl
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models.
CoRR
Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks
2024 A* conf
Multi-Group Proportional Representation in Retrieval.
NeurIPS
Alex Oesterling, Claudio Mayrink Verdun, Alexander Glynn, Carol Xuan Long, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon
2024 J jnl
Multi-Group Proportional Representation.
CoRR
Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon
2024 A* conf
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
NeurIPS
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024 J jnl
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
CoRR
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024 J jnl
With or Without Replacement? Improving Confidence in Fourier Imaging.
CoRR
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
2023 Misc conf
High-Dimensional Confidence Regions in Sparse MRI.
ICASSP
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2023 — conf
Uncertainty Quantification For Learned ISTA.
MLSP
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2023 J jnl
Uncertainty quantification for learned ISTA.
CoRR
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut
2022 J jnl
Non-negative Least Squares via Overparametrization.
CoRR
Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun
2022 J jnl
Uncertainty quantification for sparse Fourier recovery.
CoRR
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2021 A* conf
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples.
ICML
Christian Kümmerle, Claudio Mayrink Verdun
2021 J jnl
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples.
CoRR
Christian Kümmerle, Claudio Mayrink Verdun
2021 A* conf
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate.
NeurIPS
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
2020 J jnl
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method.
CoRR
Christian Kümmerle, Claudio Mayrink Verdun
2020 J jnl
Iteratively Reweighted Least Squares for 𝓁
CoRR
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
2018 J jnl
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares.
CoRR
Christian Kümmerle, Claudio Mayrink Verdun