Noah Hollmann

According to our database1, Noah Hollmann authored at least 12 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Accurate predictions on small data with a tabular foundation model.
Nat., January, 2025

2024
Bayes' Power for Explaining In-Context Learning Generalizations.
CoRR, 2024

FairPFN: Transformers Can do Counterfactual Fairness.
CoRR, 2024

Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
PFNs Are Flexible Models for Real-World Bayesian Optimization.
CoRR, 2023

LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering.
CoRR, 2023

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PFNs4BO: In-Context Learning for Bayesian Optimization.
Proceedings of the International Conference on Machine Learning, 2023

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Meta-Learning a Real-Time Tabular AutoML Method For Small Data.
CoRR, 2022

Transformers Can Do Bayesian Inference.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2017
Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval.
Proceedings of the Working Notes of CLEF 2017, 2017


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