Samuel Müller
8 papers · 2022–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
👑
Triple Crown
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Optimization & Theory
(6)
Core Methods
(4)
Deep Learning
(3)
Learning Paradigms
(3)
Bayesian & Probabilistic
(2)
Core AI
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Learning Types
(1)
Models
(1)
Optimization
(1)
Keywords
bayesian inference
(4)
prior-data fitted network
(4)
in-context learning
(2)
gaussian process
(2)
tabular data
(2)
pretraining
(1)
bayesian model
(1)
distribution shift
(1)
prior distribution
(1)
bayesian optimization
(1)
posterior approximation
(1)
posterior predictive
(1)
amortized inference
(1)
surrogate model
(1)
synthetic data
(1)
learning curve
(1)
foundation model
(1)
structural causal model
(1)
feature engineering
(1)
tabular classification
(1)
Papers
FairPFN: A Tabular Foundation Model for Causal Fairness
ICML 2025
Position: The Future of Bayesian Prediction Is Prior-Fitted
ICML 2025
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
NeurIPS 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
NeurIPS 2023
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
NeurIPS 2023
PFNs4BO: In-Context Learning for Bayesian Optimization
ICML 2023
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
ICLR 2023
Transformers Can Do Bayesian Inference
ICLR 2022