Jesse C. Cresswell

DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems

Self-Supervised Representation Learning As Mutual Information Maximization

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

TabDPT: Scaling Tabular Foundation Models on Real Data

A Geometric Framework for Understanding Memorization in Generative Models

Conformal Prediction Sets Can Cause Disparate Impact

Document Summarization with Conformal Importance Guarantees

TabDPT: Scaling Tabular Foundation Models