Petrus H. Zwart

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conformal Tradeoffs: Guarantees Beyond Coverage.
CoRR
Petrus H. Zwart
2025 J jnl
Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations.
CoRR
Petrus H. Zwart, Tamás Varga, Odeta Qafoku, James A. Sethian
2025 J jnl
Optimizing inference of segmentation on high-resolution images in MLExchange.
J. Supercomput.
Shizhao Lu, Tanny Chavez, Wiebke Koepp, Guanhua Hao, Petrus H. Zwart, Alexander Hexemer
2025 J jnl
Probabilistic Conformal Coverage Guarantees in Small-Data Settings.
CoRR
Petrus H. Zwart
2024 J jnl
qlty: Handling large tensors in scientific imaging deep-learning workflows.
Softw. Impacts
Petrus H. Zwart
2023 J jnl
DLSIA: Deep Learning for Scientific Image Analysis.
CoRR
Eric J. Roberts, Tanny Chavez, Alexander Hexemer, Petrus H. Zwart
2023 — conf
Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities.
Image Processing: Algorithms and Systems
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, Alexander Hexemer, Dilworth Parkinson
2023 J jnl
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images.
CoRR
Howard Yanxon, Eric J. Roberts, Hannah Parraga, James Weng, Wenqian Xu, Uta Ruett, Alexander Hexemer, Petrus H. Zwart, Nicholas Schwarz
2022 — conf
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies.
XLOOP@SC
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, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer
2022 J jnl
MLExchange: A web-based platform enabling exchangeable machine learning workflows.
CoRR
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, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer
2021 — conf
High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning.
XLOOP@SC
Marcus Michael Noack, David Perryman, Harinarayan Krishnan, Petrus H. Zwart
2021 J jnl
Learning from learning machines: a new generation of AI technology to meet the needs of science.
CoRR
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, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown
2020 J jnl
K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy.
Mach. Learn. Sci. Technol.
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
2019 — conf
Computational Strategies to Increase Efficiency of Gaussian-Process-Driven Autonomous Experiments.
XLOOP@SC
Marcus Michael Noack, Petrus H. Zwart