Computational Strategies to Increase Efficiency of Gaussian-Process-Driven Autonomous Experiments. - Marcus Michael Noack; Petrus H. Zwart (XLOOP@SC, 2019)

K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy. - Charles N. Melton; Marcus Michael Noack; Taisuke Ohta; Thomas E. Beechem; Jeremy Robinson; Xiaotian Zhang; Aaron Bostwick; Chris Jozwiak; Roland J. Koch; Petrus H. Zwart; Alexander Hexemer; Eli Rotenberg (Mach. Learn. Sci. Technol., 2020)

High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning. - Marcus Michael Noack; David Perryman; Harinarayan Krishnan; Petrus H. Zwart (XLOOP@SC, 2021)

Learning from learning machines: a new generation of AI technology to meet the needs of science. - Luca Pion-Tonachini; Kristofer E. Bouchard; Héctor García Martín; Sean Peisert; W. Bradley Holtz; Anil Aswani; Dipankar Dwivedi; Haruko M. Wainwright; Ghanshyam Pilania; Benjamin Nachman; Babetta L. Marrone; Nicola Falco; et al. (CoRR, 2021)

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (XLOOP@SC, 2022)

MLExchange: A web-based platform enabling exchangeable machine learning workflows. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (CoRR, 2022)

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. - Guanhua Hao; Eric J. Roberts; Tanny Chavez; Zhuowen Zhao; Elizabeth Holman; Howard Yanxon; Adam Green; Harinarayan Krishnan; Daniela Ushizima; Dylan McReynolds; Nicholas Schwarz; Petrus H. Zwart; et al. (Image Processing: Algorithms and Systems, 2023)

DLSIA: Deep Learning for Scientific Image Analysis. - Eric J. Roberts; Tanny Chavez; Alexander Hexemer; Petrus H. Zwart (CoRR, 2023)

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images. - Howard Yanxon; Eric J. Roberts; Hannah Parraga; James Weng; Wenqian Xu; Uta Ruett; Alexander Hexemer; Petrus H. Zwart; Nicholas Schwarz (CoRR, 2023)

qlty: Handling large tensors in scientific imaging deep-learning workflows. - Petrus H. Zwart (Softw. Impacts, 2024)

Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations. - Petrus H. Zwart; Tamás Varga; Odeta Qafoku; James A. Sethian (CoRR, 2025)

Optimizing inference of segmentation on high-resolution images in MLExchange. - Shizhao Lu; Tanny Chavez; Wiebke Koepp; Guanhua Hao; Petrus H. Zwart; Alexander Hexemer (J. Supercomput., 2025)

Probabilistic Conformal Coverage Guarantees in Small-Data Settings. - Petrus H. Zwart (CoRR, 2025)