David Rügamer
24 papers · 2022–2026 · 9 venues · across top CS/AI venues
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uncertainty quantification
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bayesian inference
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embedding
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information bottleneck
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multi-task learning
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text classification
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machine-generated text detection
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handwriting recognition
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Papers
Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities
UAI 2026
Additive Model Boosting: New Insights and Path(ologie)s
AISTATS 2025
Adjustment for Confounding using Pre-Trained Representations
ICML 2025
Calibrating LLMs with Information-Theoretic Evidential Deep Learning
ICLR 2025
Can Transformers Learn Full Bayesian Inference in Context?
ICML 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
ICLR 2025
How To Make Your Cell Tracker Say "I dunno!"
ICCV 2025
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
UAI 2025
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
ICLR 2025
Paths and Ambient Spaces in Neural Loss Landscapes
AISTATS 2025
Position: The Future of Bayesian Prediction Is Prior-Fitted
ICML 2025
Revisiting Unbiased Implicit Variational Inference
ICML 2025
A Functional Extension of Semi-Structured Networks
NeurIPS 2024
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
ICML 2024
Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction
WACV 2024
Generalizing Orthogonalization for Models with Non-Linearities
ICML 2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
UAI 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Position: Why We Must Rethink Empirical Research in Machine Learning
ICML 2024
Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text
SemEval 2024
A New PHO-rmula for Improved Performance of Semi-Structured Networks
ICML 2023
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
ICLR 2023
Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
CoNLL 2023
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach
WACV 2022