Julian Rodemann
9 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Core AI
(4)
Generation
(4)
Optimization & Theory
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Mathematics
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
decoding strategy
(3)
aleatoric uncertainty
(2)
credal set
(2)
robust statistics
(2)
epistemic uncertainty
(2)
uncertainty estimation
(2)
text generation
(2)
open-ended text generation
(2)
stochastic dominance
(2)
probabilistic prediction
(1)
statistical testing
(1)
marginal likelihood
(1)
uncertainty quantification
(1)
multi-class classification
(1)
model selection
(1)
evaluation framework
(1)
decision theory
(1)
fixed-point theorem
(1)
reciprocal learning
(1)
multi-armed bandit
(1)
Papers
Quantification of Credal Uncertainty: A Distance-Based Approach
UAI 2026
GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation
EMNLP 2025
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models
EMNLP 2025
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
ACL 2025
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
EMNLP 2024
Reciprocal Learning
NeurIPS 2024
Statistical Multicriteria Benchmarking via the GSD-Front
NeurIPS 2024
Approximately Bayes-optimal pseudo-label selection
UAI 2023
Robust statistical comparison of random variables with locally varying scale of measurement
UAI 2023