Efficient Smoothing of Dilated Convolutions for Image Segmentation. - Thomas Ziegler 004; Manuel Fritsche; Lorenz Kuhn; Konstantin Donhauser (CoRR, 2019)

How rotational invariance of common kernels prevents generalization in high dimensions. - Konstantin Donhauser; Mingqi Wu; Fanny Yang (ICML, 2021)

Interpolation can hurt robust generalization even when there is no noise. - Konstantin Donhauser; Alexandru Tifrea; Michael Aerni; Reinhard Heckel; Fanny Yang (NeurIPS, 2021)

Tight bounds for minimum l1-norm interpolation of noisy data. - Guillaume Wang; Konstantin Donhauser; Fanny Yang (CoRR, 2021)

Tight bounds for minimum ℓ1-norm interpolation of noisy data. - Guillaume Wang; Konstantin Donhauser; Fanny Yang (AISTATS, 2022)

Fast rates for noisy interpolation require rethinking the effect of inductive bias. - Konstantin Donhauser; Nicolò Ruggeri; Stefan Stojanovic; Fanny Yang (ICML, 2022)

Fast rates for noisy interpolation require rethinking the effects of inductive bias. - Konstantin Donhauser; Nicolò Ruggeri; Stefan Stojanovic; Fanny Yang (CoRR, 2022)

Strong inductive biases provably prevent harmless interpolation. - Michael Aerni; Marco Milanta; Konstantin Donhauser; Fanny Yang (ICLR, 2023)

Sample-efficient private data release for Lipschitz functions under sparsity assumptions. - Konstantin Donhauser; Johan Lokna; Amartya Sanyal; March Boedihardjo; Robert Hönig; Fanny Yang (CoRR, 2023)

Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. - Piersilvio De Bartolomeis; Javier Abad Martinez; Konstantin Donhauser; Fanny Yang (AISTATS, 2024)

Certified private data release for sparse Lipschitz functions. - Konstantin Donhauser; Johan Lokna; Amartya Sanyal; March Boedihardjo; Robert Hönig; Fanny Yang (AISTATS, 2024)

Tight bounds for maximum ℓ1-margin classifiers. - Stefan Stojanovic; Konstantin Donhauser; Fanny Yang (ALT, 2024)

Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent. - Konstantin Donhauser; Javier Abad Martinez; Neha Hulkund; Fanny Yang (ICML, 2024)

Detecting critical treatment effect bias in small subgroups. - Piersilvio De Bartolomeis; Javier Abad; Konstantin Donhauser; Fanny Yang (UAI, 2024)

Strong Copyright Protection for Language Models via Adaptive Model Fusion. - Javier Abad; Konstantin Donhauser; Francesco Pinto; Fanny Yang (CoRR, 2024)

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy. - Kian Kenyon-Dean; Zitong Jerry Wang; John Urbanik; Konstantin Donhauser; Jason S. Hartford; Saber Saberian; Nil Sahin; Ihab Bendidi; Safiye Celik; Marta M. Fay; Juan Sebastian Rodriguez Vera; Imran S. Haque; et al. (CoRR, 2024)

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models. - Konstantin Donhauser; Kristina Ulicna; Gemma E. Moran; Aditya Ravuri; Kian Kenyon-Dean; Cian Eastwood; Jason S. Hartford (CoRR, 2024)

Copyright-Protected Language Generation via Adaptive Model Fusion. - Javier Abad; Konstantin Donhauser; Francesco Pinto; Fanny Yang (ICLR, 2025)

Efficient Randomized Experiments Using Foundation Models. - Piersilvio De Bartolomeis; Javier Abad; Guanbo Wang; Konstantin Donhauser; Raymond M. Duch; Fanny Yang; Issa J. Dahabreh (CoRR, 2025)

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification. - Konstantin Donhauser; Charles Arnal; Mohammad Pezeshki; Vivien Cabannes; David Lopez-Paz; Kartik Ahuja (CoRR, 2025)