Benjamin Feuer

According to our database, Benjamin Feuer authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.

Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White

CoRR, 2024

2023

Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks.

Benjamin Feuer, Chinmay Hegde, Niv Cohen

CoRR, 2023

Exploring Dataset-Scale Indicators of Data Quality.

Benjamin Feuer, Chinmay Hegde

CoRR, 2023

ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models.

Benjamin Feuer, Yurong Liu, Chinmay Hegde, Juliana Freire

CoRR, 2023

Distributionally Robust Classification on a Data Budget.

Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde

CoRR, 2023

LiT Tuned Models for Efficient Species Detection.

Andre Nakkab, Benjamin Feuer, Chinmay Hegde

CoRR, 2023

2022

Caption supervision enables robust learners.

Benjamin Feuer, Ameya Joshi, Chinmay Hegde

CoRR, 2022

A Meta-Analysis of Distributionally-Robust Models.

Benjamin Feuer, Ameya Joshi, Chinmay Hegde

CoRR, 2022