Karen Ullrich

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Language Modeling

Boundary Detection

Image Compression

Top Venues

Trans. Mach. Learn. Res.

Publications

Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich
Understanding and Mitigating Tokenization Bias in Language Models. CoRR (2024)
Julius Berner, Lorenz Richter, Karen Ullrich
An optimal control perspective on diffusion-based generative modeling. Trans. Mach. Learn. Res. 2024 (2024)
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
An Introduction to Vision-Language Modeling. CoRR (2024)
Da Ju, Karen Ullrich, Adina Williams
Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality. ACL (Findings) (2024)
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
On the Challenges and Opportunities in Generative AI. CoRR (2024)
Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison
End-To-End Causal Effect Estimation from Unstructured Natural Language Data. CoRR (2024)
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
Image Compression with Product Quantized Masked Image Modeling. Trans. Mach. Learn. Res. 2023 (2023)
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. CoRR (2023)
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. ICML (2023)
Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich
Latent Discretization for Continuous-time Sequence Compression. CoRR (2022)
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
Compressing Multisets with Large Alphabets. DCC (2022)
Julius Berner, Lorenz Richter, Karen Ullrich
An optimal control perspective on diffusion-based generative modeling. CoRR (2022)
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
Compressing Multisets With Large Alphabets. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
Image Compression with Product Quantized Masked Image Modeling. CoRR (2022)
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. ICML (2021)
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison
Lossy Compression for Lossless Prediction. CoRR (2021)
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
Compressing Multisets with Large Alphabets. CoRR (2021)
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR (2021)
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison
Lossy Compression for Lossless Prediction. NeurIPS (2021)
Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende
Neural Communication Systems with Bandwidth-limited Channel. CoRR (2020)
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem. CoRR (2019)
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. UAI (2019)
Eelco van der Wel, Karen Ullrich
Optical Music Recognition with Convolutional Sequence-to-Sequence Models. ISMIR (2017)
Christos Louizos, Karen Ullrich, Max Welling
Bayesian Compression for Deep Learning. NIPS (2017)
Eelco van der Wel, Karen Ullrich
Optical Music Recognition with Convolutional Sequence-to-Sequence Models. CoRR (2017)
Karen Ullrich, Edward Meeds, Max Welling
Soft Weight-Sharing for Neural Network Compression. ICLR (Poster) (2017)
Christos Louizos, Karen Ullrich, Max Welling
Bayesian Compression for Deep Learning. CoRR (2017)
Karen Ullrich, Edward Meeds, Max Welling
Soft Weight-Sharing for Neural Network Compression. CoRR (2017)
Karen Ullrich, Jan Schlüter, Thomas Grill
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks. ISMIR (2014)