Verdun, Claudio Mayrink

13 publications

ICLR 2026 GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection Mariia Seleznova, Hung-Hsu Chou, Claudio Mayrink Verdun, Gitta Kutyniok

ICLR 2026 Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability Usha Bhalla, Alex Oesterling, Claudio Mayrink Verdun, Himabindu Lakkaraju, Flavio Calmon

AISTATS 2025 Get Rid of Your Constraints and Reparametrize: A Study in NNLS and Implicit Bias Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun, Bernardo Freitas Paulo Costa, Heudson Mirandola

NeurIPS 2025 HeavyWater and SimplexWater: Distortion-Free LLM Watermarks for Low-Entropy Distributions Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Sajani Vithana, Hsiang Hsu, Chun-Fu Chen, Haim H. Permuter, Flavio Calmon

NeurIPS 2025 Inference-Time Reward Hacking in Large Language Models Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flavio Calmon

CVPR 2025 Multi-Group Proportional Representations for Text-to-Image Models Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flavio P. Calmon

ICLRW 2025 Optimized Couplings for Watermarking Large Language Models Carol Xuan Long, Dor Tsur, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flavio Calmon

ECCV 2024 Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus, Sebastian Endt, Marion Irene Menzel, Felix Krahmer, Holger Rauhut

NeurIPS 2024 Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks

ICMLW 2024 Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Riggs Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks

NeurIPS 2024 Multi-Group Proportional Representation in Retrieval Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flavio P. Calmon

NeurIPS 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

NeurIPS 2021 Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger