Karen Ullrich

According to our database, Karen Ullrich authored at least 28 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers.

Jingtong Su, Julia Kempe, Karen Ullrich

CoRR, June, 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, June, 2025

Aligned Multi Objective Optimization.

Yonathan Efroni, Ben Kertzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich

CoRR, February, 2025

Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search.

Daniel Severo, Giuseppe Ottaviano, Matthew J. Muckley, Karen Ullrich, Matthijs Douze

CoRR, January, 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, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

Trans. Mach. Learn. Res., 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Architecture Optimizations for Improving Neural Image Compression Compute Complexity.

Matthew J. Muckley, Marton Havasi, Jakob Verbeek, Karen Ullrich

Proceedings of the Data Compression Conference, 2025

Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression.

Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich

Proceedings of the Data Compression Conference, 2025

2024

An optimal control perspective on diffusion-based generative modeling.

Julius Berner, Lorenz Richter, Karen Ullrich

Trans. Mach. Learn. Res., 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, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano

CoRR, 2024

Understanding and Mitigating Tokenization Bias in Language Models.

Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich

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, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 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, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

CoRR, 2024

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs.

Jingtong Su, Julia Kempe, Karen Ullrich

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

End-To-End Causal Effect Estimation from Unstructured Natural Language Data.

Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality.

Da Ju, Karen Ullrich, Adina Williams

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.

Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek

Proceedings of the International Conference on Machine Learning, 2023

2022

Compressing Multisets With Large Alphabets.

Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich

IEEE J. Sel. Areas Inf. Theory, December, 2022

Latent Discretization for Continuous-time Sequence Compression.

Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich

CoRR, 2022

2021

Lossy Compression for Lossless Prediction.

Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.

Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Neural Communication Systems with Bandwidth-limited Channel.

Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende

CoRR, 2020

2019

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

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2017

Bayesian Compression for Deep Learning.

Christos Louizos, Karen Ullrich, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Optical Music Recognition with Convolutional Sequence-to-Sequence Models.

Eelco van der Wel, Karen Ullrich

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Soft Weight-Sharing for Neural Network Compression.

Karen Ullrich, Edward Meeds, Max Welling

Proceedings of the 5th International Conference on Learning Representations, 2017

2014

Boundary Detection in Music Structure Analysis using Convolutional Neural Networks.

Karen Ullrich, Jan Schlüter, Thomas Grill

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014