3 papers
cs.LG2026
Pre-trained Tabular Foundation Models as Versatile Summary Networks for Neural Posterior Estimation
Elliot Pickens, Chiraag Gohel, Sidharth Satya
In this work, we study TabPFN as a training-free, modular summary network for simulation-based Bayesian inference (SBI). Tabular foundation models such as TabPFN are pretrained on…
cs.CY2025
The DataSquad Experiment: Lessons for Preparing Data and Computer Scientists for Work
Paula Lackie, Elliot Pickens, Dashiell Coyier
The DataSquad at Carleton College addresses a common problem at small liberal arts colleges: limited capacity for data services and few opportunities for students to gain practical…
cs.CL2024
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News
Alexandria Leto, Elliot Pickens, Coen D. Needell +2
The mainstream media has much leeway in what it chooses to cover and how it covers it. These choices have real-world consequences on what people know and their subsequent behaviors…