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Karen Ullrich
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2020 – today
- 2024
- [j3]Julius Berner, Lorenz Richter, Karen Ullrich:
An optimal control perspective on diffusion-based generative modeling. Trans. Mach. Learn. Res. 2024 (2024) - [c10]Da Ju, Karen Ullrich, Adina Williams:
Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality. ACL (Findings) 2024: 4254-4274 - [i17]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 abs/2403.00025 (2024) - [i16]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 abs/2405.17247 (2024) - [i15]Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich:
Understanding and Mitigating Tokenization Bias in Language Models. CoRR abs/2406.16829 (2024) - [i14]Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison:
End-To-End Causal Effect Estimation from Unstructured Natural Language Data. CoRR abs/2407.07018 (2024) - [i13]Jingtong Su, Julia Kempe, Karen Ullrich:
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs. CoRR abs/2408.01420 (2024) - 2023
- [j2]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) - [c9]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: 25426-25443 - [i12]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 abs/2301.11189 (2023) - 2022
- [j1]Daniel Severo
, James Townsend, Ashish Khisti
Compressing Multisets With Large Alphabets. IEEE J. Sel. Areas Inf. Theory 3(4): 605-615 (2022) - [c8]Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. DCC 2022: 322-331 - [i11]Julius Berner, Lorenz Richter, Karen Ullrich:
An optimal control perspective on diffusion-based generative modeling. CoRR abs/2211.01364 (2022) - [i10]Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou:
Image Compression with Product Quantized Masked Image Modeling. CoRR abs/2212.07372 (2022) - [i9]Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel
Latent Discretization for Continuous-time Sequence Compression. CoRR abs/2212.13659 (2022) - 2021
- [c7]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: 9136-9147 - [c6]Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison:
Lossy Compression for Lossless Prediction. NeurIPS 2021: 14014-14028 - [i8]Yangjun Ruan, Karen Ullrich, Daniel Severo
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. CoRR abs/2102.11086 (2021) - [i7]Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison:
Lossy Compression for Lossless Prediction. CoRR abs/2106.10800 (2021) - [i6]Daniel Severo
Compressing Multisets with Large Alphabets. CoRR abs/2107.09202 (2021) - 2020
- [i5]Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende:
Neural Communication Systems with Bandwidth-limited Channel. CoRR abs/2003.13367 (2020)
2010 – 2019
- 2019
- [c5]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: 399-411 - [i4]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 abs/1906.07582 (2019) - 2017
- [c4]Karen Ullrich, Edward Meeds, Max Welling:
Soft Weight-Sharing for Neural Network Compression. ICLR (Poster) 2017 - [c3]Eelco van der Wel, Karen Ullrich:
Optical Music Recognition with Convolutional Sequence-to-Sequence Models. ISMIR 2017: 731-737 - [c2]Christos Louizos, Karen Ullrich, Max Welling:
Bayesian Compression for Deep Learning. NIPS 2017: 3288-3298 - [i3]Karen Ullrich, Edward Meeds, Max Welling:
Soft Weight-Sharing for Neural Network Compression. CoRR abs/1702.04008 (2017) - [i2]Christos Louizos, Karen Ullrich, Max Welling:
Bayesian Compression for Deep Learning. CoRR abs/1705.08665 (2017) - [i1]Eelco van der Wel, Karen Ullrich:
Optical Music Recognition with Convolutional Sequence-to-Sequence Models. CoRR abs/1707.04877 (2017) - 2014
- [c1]Karen Ullrich, Jan Schlüter, Thomas Grill:
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks. ISMIR 2014: 417-422
Coauthor Index
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last updated on 2024-10-04 21:04 CEST by the dblp team
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