Daniel Ratner

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 21

Top Topics

Gaussian Process

Electron Microscopy

Lambertian Surface

Top Venues

Mach. Learn. Sci. Technol.

Publications

Sean Gasiorowski, Yifan Chen, Youssef S. G. Nashed, Pierre Granger, Camelia Mironov, Ka Vang Tsang, Daniel Ratner, Kazuhiro Terao
Differentiable simulation of a liquid argon time projection chamber. Mach. Learn. Sci. Technol. 5 (2) (2024)
Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner
Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives. Mach. Learn. Sci. Technol. 5 (1) (2024)
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
Towards Unlocking Insights from Logbooks Using AI. CoRR (2024)
Ryan Humble, Zhe Zhang, Finn O'Shea, Eric Darve, Daniel Ratner
Coincident Learning for Unsupervised Anomaly Detection. CoRR (2023)
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
Capturing dynamical correlations using implicit neural representations. CoRR (2023)
Ryan Humble, William Colocho, Finn O'Shea, Daniel Ratner, Eric Darve
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source. CoRR (2023)
Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner
Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements. CoRR (2022)
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
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. XLOOP@SC (2022)
Youssef Nashed, Ariana Peck, Julien N. P. Martel, Axel Levy, Bongjin Koo, Gordon Wetzstein, Nina Miolane, Daniel Ratner, Frédéric Poitevin
Heterogeneous reconstruction of deformable atomic models in Cryo-EM. CoRR (2022)
Minjie Lei, Ka Vang Tsang, Sean Gasiorowski, Chuan Li, Youssef Nashed, Gianluca Petrillo, Olivia Piazza, Daniel Ratner, Kazuhiro Terao
Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector. CoRR (2022)
Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. CoRR (2022)
Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. ECCV (21) (2022)
Anwesha Das, Daniel Ratner, Alex Aiken
Performance Variability and Causality in Complex Systems. ACSOS-C (2022)
Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. CoRR (2021)
Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner
CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. ICCVW (2021)
Jean-Raymond Betterton, Daniel Ratner, Samuel Webb, Mykel J. Kochenderfer
Reinforcement Learning for Adaptive Illumination with X-rays. ICRA (2020)
Adi Hanuka, Xiaobiao Huang, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, V. R. Lalchand, Daniel Ratner, Joseph Duris
Physics-informed Gaussian Process for Online Optimization of Particle Accelerators. CoRR (2020)
Daniel Ratner
Introduction to Machine Learning for Accelerator Physics. CoRR (2020)
Adi Hanuka, Joseph Duris, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, Daniel Ratner, Xiaobiao Huang
Online tuning and light source control using a physics-informed Gaussian process Adi. CoRR (2019)
Eric Kingery, Michael S. Manley, Daniel Ratner
Automating, Operationalizing and Productizing Journalistic Article Analysis. CoRR (2017)
Mitchell McIntire, Daniel Ratner, Stefano Ermon
Sparse Gaussian Processes for Bayesian Optimization. UAI (2016)
Daniel Ratner, Manfred K. Warmuth
NxN Puzzle and Related Relocation Problem. J. Symb. Comput. 10 (2) (1990)
Daniel Ratner, Manfred K. Warmuth
Finding a Shortest Solution for the N × N Extension of the 15-PUZZLE Is Intractable. AAAI (1986)
Daniel Ratner, Ira Pohl
Joint and LPA*: Combination of Approximation and Search. AAAI (1986)