Karen Ullrich

50 papers A* 7A 1B 3Journal 34Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Single Character can Make or Break Your LLM Evals.
CoRR
Jingtong Su, Jianyu Zhang, Karen Ullrich, Léon Bottou, Mark Ibrahim
2025 A* conf
Aligned Multi Objective Optimization.
ICML
Yonathan Efroni, Ben Kretzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich
2025 J jnl
Aligned Multi Objective Optimization.
CoRR
Yonathan Efroni, Ben Kertzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich
2025 B conf
Architecture Optimizations for Improving Neural Image Compression Compute Complexity.
DCC
Matthew J. Muckley, Marton Havasi, Jakob Verbeek, Karen Ullrich
2025 J jnl
Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages.
CoRR
Anaelia Ovalle, Candace Ross, Sebastian Ruder, Adina Williams, Karen Ullrich, Mark Ibrahim, Levent Sagun
2025 J jnl
Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation.
CoRR
Buu Phan, Ashish Khisti, Karen Ullrich
2025 J jnl
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models.
CoRR
Revant Teotia, Candace Ross, Karen Ullrich, Sumit Chopra, Adriana Romero-Soriano, Melissa Hall, Matthew J. Muckley
2025 B conf
Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression.
DCC
Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich
2025 A* conf
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.
ICLR
Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2025 J jnl
From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers.
CoRR
Jingtong Su, Julia Kempe, Karen Ullrich
2025 J jnl
How Reinforcement Learning After Next-Token Prediction Facilitates Learning.
CoRR
Nikolaos Tsilivis, Eran Malach, Karen Ullrich, Julia Kempe
2025 J jnl
LLM Output Homogenization is Task Dependent.
CoRR
Shomik Jain, Jack Lanchantin, Maximilian Nickel, Karen Ullrich, Ashia Wilson, Jamelle Watson-Daniels
2025 J jnl
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search.
CoRR
Daniel Severo, Giuseppe Ottaviano, Matthew J. Muckley, Karen Ullrich, Matthijs Douze
2025 J jnl
On the Challenges and Opportunities in Generative AI.
Trans. Mach. Learn. Res.
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
2025 J jnl
OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability.
CoRR
Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim
2025 J jnl
Simple Optimizers for Convex Aligned Multi-Objective Optimization.
CoRR
Ben Kretzu, Karen Ullrich, Yonathan Efroni
2024 J jnl
An Introduction to Vision-Language Modeling.
CoRR
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
2024 J jnl
An optimal control perspective on diffusion-based generative modeling.
Trans. Mach. Learn. Res.
Julius Berner, Lorenz Richter, Karen Ullrich
2024 — conf
Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality.
ACL (Findings)
Da Ju, Karen Ullrich, Adina Williams
2024 A* conf
End-To-End Causal Effect Estimation from Unstructured Natural Language Data.
NeurIPS
Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison
2024 J jnl
End-To-End Causal Effect Estimation from Unstructured Natural Language Data.
CoRR
Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison
2024 J jnl
EvalGIM: A Library for Evaluating Generative Image Models.
CoRR
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
2024 J jnl
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.
CoRR
Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2024 A* conf
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs.
NeurIPS
Jingtong Su, Julia Kempe, Karen Ullrich
2024 J jnl
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs.
CoRR
Jingtong Su, Julia Kempe, Karen Ullrich
2024 J jnl
On the Challenges and Opportunities in Generative AI.
CoRR
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
2024 J jnl
Understanding and Mitigating Tokenization Bias in Language Models.
CoRR
Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2023 J jnl
Image Compression with Product Quantized Masked Image Modeling.
Trans. Mach. Learn. Res.
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
2023 A* conf
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.
ICML
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
2023 J jnl
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.
CoRR
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
2022 J jnl
An optimal control perspective on diffusion-based generative modeling.
CoRR
Julius Berner, Lorenz Richter, Karen Ullrich
2022 J jnl
Compressing Multisets With Large Alphabets.
IEEE J. Sel. Areas Inf. Theory
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
2022 B conf
Compressing Multisets with Large Alphabets.
DCC
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
2022 J jnl
Image Compression with Product Quantized Masked Image Modeling.
CoRR
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
2022 J jnl
Latent Discretization for Continuous-time Sequence Compression.
CoRR
Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich
2021 J jnl
Compressing Multisets with Large Alphabets.
CoRR
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich
2021 A* conf
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.
ICML
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2021 J jnl
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding.
CoRR
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison
2021 A* conf
Lossy Compression for Lossless Prediction.
NeurIPS
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison
2021 J jnl
Lossy Compression for Lossless Prediction.
CoRR
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison
2020 J jnl
Neural Communication Systems with Bandwidth-limited Channel.
CoRR
Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende
2019 A conf
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem.
UAI
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2019 J jnl
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem.
CoRR
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2017 — conf
Bayesian Compression for Deep Learning.
NIPS
Christos Louizos, Karen Ullrich, Max Welling
2017 J jnl
Bayesian Compression for Deep Learning.
CoRR
Christos Louizos, Karen Ullrich, Max Welling
2017 — conf
Optical Music Recognition with Convolutional Sequence-to-Sequence Models.
ISMIR
Eelco van der Wel, Karen Ullrich
2017 J jnl
Optical Music Recognition with Convolutional Sequence-to-Sequence Models.
CoRR
Eelco van der Wel, Karen Ullrich
2017 — conf
Soft Weight-Sharing for Neural Network Compression.
ICLR (Poster)
Karen Ullrich, Edward Meeds, Max Welling
2017 J jnl
Soft Weight-Sharing for Neural Network Compression.
CoRR
Karen Ullrich, Edward Meeds, Max Welling
2014 — conf
Boundary Detection in Music Structure Analysis using Convolutional Neural Networks.
ISMIR
Karen Ullrich, Jan Schlüter, Thomas Grill