Samuel Müller
8 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
👑
Triple Crown
Conferences
ICML (3)
NIPS (3)
ICLR (2)
Top co-authors
Keywords
prior-data fitted network
(3)
tabular datum
(2)
bayesian inference
(2)
in-context learning
(2)
bayesian optimization
(1)
posterior predictive
(1)
surrogate model
(1)
learning curve
(1)
structural causal model
(1)
feature engineering
(1)
automated machine learning
(1)
posterior predictive distribution
(1)
surrogate modeling
(1)
semantic feature
(1)
large language model
(1)
model selection
(1)
roc auc
(1)
hyperparameter optimization
(1)
gaussian process
(1)
distribution shift
(1)
Papers
Position: The Future of Bayesian Prediction Is Prior-Fitted
ICML 2025
FairPFN: A Tabular Foundation Model for Causal Fairness
ICML 2025
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
NIPS 2024
PFNs4BO: In-Context Learning for Bayesian Optimization
ICML 2023
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
ICLR 2023
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
NIPS 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
NIPS 2023
Transformers Can Do Bayesian Inference
ICLR 2022