Daniel Ratner

According to our database, Daniel Ratner authored at least 25 papers between 1986 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives.

Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner

Mach. Learn. Sci. Technol., March, 2024

Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset.

Finn H. O'Shea, Semin Joung, David R. Smith, Daniel Ratner, Ryan N. Coffee

Mach. Learn. Sci. Technol., 2024

Coincident learning for unsupervised anomaly detection of scientific instruments.

Ryan Humble, Zhe Zhang, Finn H. O'Shea, Eric Darve, Daniel Ratner

Mach. Learn. Sci. Technol., 2024

Differentiable simulation of a liquid argon time projection chamber.

Sean Gasiorowski, Yifan Chen, Youssef S. G. Nashed, Pierre Granger, Camelia Mironov, Ka Vang Tsang, Daniel Ratner, Kazuhiro Terao

Mach. Learn. Sci. Technol., 2024

Towards Unlocking Insights from Logbooks Using AI.

Antonin Sulc, Alex Bien, Annika Eichler, Daniel Ratner, Florian Rehm, Frank Mayet, Gregor Hartmann, Hayden Hoschouer, Henrik Tünnermann, Jan Kaiser, Jason St. John, Jennefer Maldonado, Kyle J. Hazelwood, Raimund Kammering, Thorsten Hellert, Tim Wilksen, Verena Kain, Wan-Lin Hu

CoRR, 2024

2023

Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source.

Ryan Humble, William Colocho, Finn H. O'Shea, Daniel Ratner, Eric Darve

CoRR, 2023

Capturing dynamical correlations using implicit neural representations.

Sathya R. Chitturi, Zhurun Ji, Alexander Petsch, Cheng Peng, Zhantao Chen, Rajan Plumley, Mike Dunne, Sougata Mardanya, Sugata Chowdhury, Hongwei Chen, Arun Bansil, Adrian E. Feiguin, Alexander Kolesnikov, Dharmalingam Prabhakaran, Stephen Hayden, Daniel Ratner, Chunjing Jia, Youssef Nashed, Joshua J. Turner

CoRR, 2023

Coincident Learning for Unsupervised Anomaly Detection.

Ryan Humble, Zhe Zhang, Finn H. O'Shea, Eric Darve, Daniel Ratner

CoRR, 2023

2022

Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector.

Minjie Lei, Ka Vang Tsang, Sean Gasiorowski, Chuan Li, Youssef S. G. Nashed, Gianluca Petrillo, Olivia Piazza, Daniel Ratner, Kazuhiro Terao

CoRR, 2022

Heterogeneous reconstruction of deformable atomic models in Cryo-EM.

Youssef S. G. Nashed, Ariana Peck, Julien N. P. Martel, Axel Levy, Bongjin Koo, Gordon Wetzstein, Nina Miolane, Daniel Ratner, Frédéric Poitevin

CoRR, 2022

Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements.

Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner

CoRR, 2022

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities.

Hongwei Chen, Sathya R. Chitturi, Rajan Plumley, Lingjia Shen, Nathan C. Drucker, Nicolas Burdet, Cheng Peng, Sougata Mardanya, Daniel Ratner, Aashwin Mishra, Chun Hong Yoon, Sanghoon Song, Matthieu Chollet, Gilberto Fabbris, Mike Dunne, Silke Nelson, Mingda Li, Aaron Lindenberg, Chunjing Jia, Youssef Nashed, Arun Bansil, Sugata Chowdhury, Adrian E. Feiguin, Joshua J. Turner, Jana Thayer

Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images.

Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein

Proceedings of the Computer Vision - ECCV 2022, 2022

Performance Variability and Causality in Complex Systems.

Anwesha Das, Daniel Ratner, Alex Aiken

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022

2021

End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.

Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner

CoRR, 2021

CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.

Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Physics-informed Gaussian Process for Online Optimization of Particle Accelerators.

Adi Hanuka, Xiaobiao Huang, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, V. R. Lalchand, Daniel Ratner, Joseph Duris

CoRR, 2020

Introduction to Machine Learning for Accelerator Physics.

Daniel Ratner

CoRR, 2020

Reinforcement Learning for Adaptive Illumination with X-rays.

Jean-Raymond Betterton, Daniel Ratner, Samuel Webb, Mykel J. Kochenderfer

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Online tuning and light source control using a physics-informed Gaussian process Adi.

Adi Hanuka, Joseph Duris, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, Daniel Ratner, Xiaobiao Huang

CoRR, 2019

2017

Automating, Operationalizing and Productizing Journalistic Article Analysis.

Eric Kingery, Michael S. Manley, Daniel Ratner

CoRR, 2017

2016

Sparse Gaussian Processes for Bayesian Optimization.

Mitchell McIntire, Daniel Ratner, Stefano Ermon

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

1990

NxN Puzzle and Related Relocation Problem.

Daniel Ratner, Manfred K. Warmuth

J. Symb. Comput., 1990

1986

Finding a Shortest Solution for the N × N Extension of the 15-PUZZLE Is Intractable.

Daniel Ratner, Manfred K. Warmuth

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

Joint and LPA*: Combination of Approximation and Search.

Daniel Ratner, Ira Pohl

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986