Karen Ullrich
11 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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(5)
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Research topics
Machine Learning
(8)
Deep Learning
(5)
Models
(5)
Artificial Intelligence
(4)
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(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Core AI
(3)
Mathematics
(3)
Computer Vision
(2)
Generation
(2)
Resources & Methods
(2)
Interdisciplinary
(1)
Applications
(1)
Keywords
variational inference
(2)
large language model
(2)
model compression
(1)
neural network pruning
(1)
3d reconstruction
(1)
adversarial robustness
(1)
network pruning
(1)
image reconstruction
(1)
statistical analysis
(1)
natural language processing
(1)
statistical learning theory
(1)
text mining
(1)
preference alignment
(1)
data augmentation
(1)
causal effect estimation
(1)
reward modeling
(1)
causal inference
(1)
reinforcement learning from human feedback
(1)
marginal likelihood
(1)
statistical learning
(1)
Papers
Aligned Multi Objective Optimization
ICML 2025
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
ICCV 2025
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
ICLR 2025
Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality
ACL 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
NeurIPS 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
NeurIPS 2024
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
ICML 2023
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
ICML 2021
Lossy Compression for Lossless Prediction
NeurIPS 2021
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem
UAI 2019
Bayesian Compression for Deep Learning
NeurIPS 2017