A general approach to progressive intelligence. - Joshua T. Vogelstein; Hayden S. Helm; Ronak D. Mehta; Jayanta Dey; Weiwei Yang 004; Bryan Tower; Will LeVine; Jonathan Larson; Christopher M. White; Carey E. Priebe (CoRR, 2020)

Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking. - Darren Edge; Weiwei Yang 004; Harry Cook; Claire Galez-Davis; Hannah Darnton; Kate Lytvynets; Christopher M. White (CoRR, 2020)

A partition-based similarity for classification distributions. - Hayden S. Helm; Ronak D. Mehta; Brandon Duderstadt; Weiwei Yang 004; Christopher M. White; Ali Geisa; Joshua T. Vogelstein; Carey E. Priebe (CoRR, 2020)

Inducing a hierarchy for multi-class classification problems. - Hayden S. Helm; Weiwei Yang 004; Sujeeth Bharadwaj; Kate Lytvynets; Oriana Riva; Christopher M. White; Ali Geisa; Carey E. Priebe (CoRR, 2021)

Leveraging semantically similar queries for ranking via combining representations. - Hayden S. Helm; Marah Ihab Abdin; Benjamin D. Pedigo; Shweti Mahajan; Vince Lyzinski; Youngser Park; Amitabh Basu; Piali Choudhury; Christopher M. White; Weiwei Yang 004; Carey E. Priebe (CoRR, 2021)

Prospective Learning: Back to the Future. - Joshua T. Vogelstein; Timothy D. Verstynen; Konrad P. Kording; Leyla Isik; John W. Krakauer; Ralph Etienne-Cummings; Elizabeth L. Ogburn; Carey E. Priebe; Randal C. Burns; Kwame S. Kutten; James J. Knierim; James B. Potash; et al. (CoRR, 2022)

Mental State Classification Using Multi-graph Features. - Guodong Chen 003; Hayden S. Helm; Kate Lytvynets; Weiwei Yang 004; Carey E. Priebe (CoRR, 2022)

Deep Learning with Label Noise: A Hierarchical Approach. - Li Chen; Ningyuan Huang; Cong Mu; Hayden S. Helm; Kate Lytvynets; Weiwei Yang 004; Carey E. Priebe (CoRR, 2022)

Prospective Learning: Principled Extrapolation to the Future. - Ashwin De Silva; Rahul Ramesh; Lyle H. Ungar; Marshall G. Hussain Shuler; Noah J. Cowan; Michael L. Platt; Chen Li; Leyla Isik; Seung-Eon Roh; Adam S. Charles; Archana Venkataraman; Brian Caffo; et al. (CoLLAs, 2023)

Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis. - Hayden S. Helm; Weiwei Yang 004; Ashwin De Silva; Joshua T. Vogelstein; Carey E. Priebe (CoRR, 2023)

A Statistical Turing Test for Generative Models. - Hayden S. Helm; Carey E. Priebe; Weiwei Yang 004 (CoRR, 2023)

Distance-based positive and unlabeled learning for ranking. - Hayden S. Helm; Amitabh Basu; Avanti Athreya; Youngser Park; Joshua T. Vogelstein; Carey E. Priebe; Michael Winding; Marta Zlatic; Albert Cardona; Patrick Bourke; Jonathan Larson; Marah Ihab Abdin; et al. (Pattern Recognit., 2023)

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror. - Tianyi Chen; Youngser Park; Ali Saad-Eldin; Zachary Lubberts; Avanti Athreya; Benjamin D. Pedigo; Joshua T. Vogelstein; Francesca Puppo; Gabriel A. Silva; Alysson R. Muotri; Weiwei Yang 004; Christopher M. White; et al. (Appl. Netw. Sci., 2023)

Multiple network embedding for anomaly detection in time series of graphs. - Guodong Chen 003; Jesús Arroyo 001; Avanti Athreya; Joshua Cape; Joshua T. Vogelstein; Youngser Park; Christopher M. White; Jonathan Larson; Weiwei Yang 004; Carey E. Priebe (Comput. Stat. Data Anal., 2025)