Karen Ullrich

According to our database, Karen Ullrich authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

An optimal control perspective on diffusion-based generative modeling.

Julius Berner, Lorenz Richter, 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