Data Diff: Interpretable, Executable Summaries of Changes in Distributions for Data Wrangling. - Charles Sutton; Timothy Hobson; James Geddes; Rich Caruana (KDD, 2018)

Wrattler: Reproducible, live and polyglot notebooks. - Tomas Petricek 001; James Geddes; Charles Sutton (TaPP, 2018)

Usability of Probabilistic Programming Languages. - Alan F. Blackwell; Luke Church; Martin Erwig; James Geddes; Andy Gordon 001; Maria I. Gorinova 001; Atilim Gunes Baydin; Bradley Gram-Hansen; Tobias Kohn; Neil D. Lawrence; Vikash Mansinghka 001; Brooks Paige; et al. (PPIG, 2019)

Design choices for productive, secure, data-intensive research at scale in the cloud. - Diego Arenas; Jon Atkins; Clare Austin; David Beavan; Alvaro Cabrejas Egea; Stephen Carlysle-Davies; Ian Carter; Rob Clarke; James Cunningham; Tom Doel; Oliver Forrest; Evelina Gabasova; et al. (CoRR, 2019)

ptype: probabilistic type inference. - Taha Ceritli; Christopher K. I. Williams; James Geddes (Data Min. Knowl. Discov., 2020)

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. - Florimond Houssiau; James Jordon; Samuel N. Cohen; Owen Daniel; Andrew Elliott; James Geddes; Callum D. Mole; Camila Rangel Smith; Lukasz Szpruch (CoRR, 2022)