Boundary Detection in Music Structure Analysis using Convolutional Neural Networks. - Karen Ullrich; Jan Schlüter; Thomas Grill (ISMIR, 2014)

Soft Weight-Sharing for Neural Network Compression. - Karen Ullrich; Edward Meeds; Max Welling (ICLR (Poster), 2017)

Optical Music Recognition with Convolutional Sequence-to-Sequence Models. - Eelco van der Wel; Karen Ullrich (ISMIR, 2017)

Bayesian Compression for Deep Learning. - Christos Louizos; Karen Ullrich; Max Welling (NIPS, 2017)

Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. - Karen Ullrich; Rianne van den Berg; Marcus A. Brubaker; David J. Fleet; Max Welling (UAI, 2019)

Neural Communication Systems with Bandwidth-limited Channel. - Karen Ullrich; Fabio Viola; Danilo Jimenez Rezende (CoRR, 2020)

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. - Yangjun Ruan; Karen Ullrich; Daniel Severo 001; James Townsend; Ashish Khisti; Arnaud Doucet; Alireza Makhzani; Chris J. Maddison (ICML, 2021)

Lossy Compression for Lossless Prediction. - Yann Dubois; Benjamin Bloem-Reddy; Karen Ullrich; Chris J. Maddison (NeurIPS, 2021)

Latent Discretization for Continuous-time Sequence Compression. - Ricky T. Q. Chen; Matthew Le 001; Matthew J. Muckley; Maximilian Nickel; Karen Ullrich (CoRR, 2022)

Compressing Multisets With Large Alphabets. - Daniel Severo 001; James Townsend; Ashish Khisti; Alireza Makhzani; Karen Ullrich (IEEE J. Sel. Areas Inf. Theory, 2022)

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. - Matthew J. Muckley; Alaaeldin El-Nouby; Karen Ullrich; Hervé Jégou; Jakob Verbeek (ICML, 2023)

Image Compression with Product Quantized Masked Image Modeling. - Alaaeldin El-Nouby; Matthew J. Muckley; Karen Ullrich; Ivan Laptev; Jakob Verbeek; Hervé Jégou (Trans. Mach. Learn. Res., 2023)

Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality. - Da Ju; Karen Ullrich; Adina Williams (ACL (Findings), 2024)

End-To-End Causal Effect Estimation from Unstructured Natural Language Data. - Nikita Dhawan; Leonardo Cotta; Karen Ullrich; Rahul G. Krishnan; Chris J. Maddison (NeurIPS, 2024)

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs. - Jingtong Su; Julia Kempe; Karen Ullrich (NeurIPS, 2024)

On the Challenges and Opportunities in Generative AI. - Laura Manduchi; Kushagra Pandey; Robert Bamler; Ryan Cotterell; Sina Däubener; Sophie Fellenz; Asja Fischer; Thomas Gärtner 004; Matthias Kirchler; Marius Kloft; Yingzhen Li; Christoph Lippert; et al. (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Understanding and Mitigating Tokenization Bias in Language Models. - Buu Phan; Marton Havasi; Matthew J. Muckley; Karen Ullrich (CoRR, 2024)

EvalGIM: A Library for Evaluating Generative Image Models. - Melissa Hall; Oscar Mañas; Reyhane Askari Hemmat; Mark Ibrahim; Candace Ross; Pietro Astolfi; Tariq Berrada Ifriqi; Marton Havasi; Yohann Benchetrit; Karen Ullrich; Carolina Braga; Abhishek Charnalia; et al. (CoRR, 2024)

An optimal control perspective on diffusion-based generative modeling. - Julius Berner; Lorenz Richter; Karen Ullrich (Trans. Mach. Learn. Res., 2024)

Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. - Daniel Severo 001; Jingtong Su; Anji Liu; Jeff Johnson; Brian Karrer; Guy Van den Broeck; Matthew J. Muckley; Karen Ullrich (DCC, 2025)

Architecture Optimizations for Improving Neural Image Compression Compute Complexity. - Matthew J. Muckley; Marton Havasi; Jakob Verbeek; Karen Ullrich (DCC, 2025)

Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles. - Buu Phan; Brandon Amos; Itai Gat; Marton Havasi; Matthew J. Muckley; Karen Ullrich (ICLR, 2025)

On the Challenges and Opportunities in Generative AI. - Laura Manduchi; Clara Meister; Kushagra Pandey; Robert Bamler; Ryan Cotterell; Sina Däubener; Sophie Fellenz; Asja Fischer; Thomas Gärtner 004; Matthias Kirchler; Marius Kloft; Yingzhen Li; et al. (Trans. Mach. Learn. Res., 2025)

Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search. - Daniel Severo 001; Giuseppe Ottaviano; Matthew J. Muckley; Karen Ullrich; Matthijs Douze (CoRR, 2025)

Aligned Multi Objective Optimization. - Yonathan Efroni; Ben Kertzu; Daniel Jiang; Jalaj Bhandari; Zheqing Zhu; Karen Ullrich (CoRR, 2025)

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models. - Revant Teotia; Candace Ross; Karen Ullrich; Sumit Chopra; Adriana Romero-Soriano; Melissa Hall; Matthew J. Muckley (CoRR, 2025)

From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers. - Jingtong Su; Julia Kempe; Karen Ullrich (CoRR, 2025)