Author

Jesse C. Cresswell

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Aug 2026

Training Fair Tabular Foundation Models

Tabular Foundation Models (TFMs) have emerged as leading methods for tabular predictive tasks, leveraging in-context learning to predict on new data without task-specific training. Despite the increased use of TFMs in high-stakes decision-making, their fairness properties remain largely unexplored. In this work, we inc...

P. Kenfack, Jesse C. Cresswell, Anthony L. Caterini et al. · 0 citations

#machine learning Preprint Sep 2026

Causal Foundation Models

Causal foundation models are pretrained neural networks that estimate causal quantities, such as the average treatment effect, on entirely new datasets using in-context learning without requiring model updates.

Christopher Stith, Hossein Rahmani, Jesse C. Cresswell · 0 citations

Preprint Jul 2026

LakeQuest: A Three-Domain Benchmark for Grounded Question Answering across Data Lakes

While modern question answering (QA) systems excel on clean, schema-aligned corpora, real-world knowledge is rarely so neatly packaged. Answering questions over enterprise and scientific data lakes requires systems to navigate heterogeneous, weakly structured collections of tables, passages, and linked metadata. Curren...

Michael Solodko, Steven Gong, Guangwei Yu et al. · 0 citations