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Daniel Ratner
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2020 – today
- 2024
- [j5]Sara A. Miskovich
, Willie Neiswanger
Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives. Mach. Learn. Sci. Technol. 5(1): 15004 (2024) - [j4]Sean Gasiorowski
Differentiable simulation of a liquid argon time projection chamber. Mach. Learn. Sci. Technol. 5(2): 25012 (2024) - [j3]Ryan Humble
Coincident learning for unsupervised anomaly detection of scientific instruments. Mach. Learn. Sci. Technol. 5(3): 35036 (2024) - [j2]Finn H. O'Shea
Coincidence anomaly detection for unsupervised locating of edge localized modes in the DIII-D tokamak dataset. Mach. Learn. Sci. Technol. 5(3): 35050 (2024) - [i13]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 abs/2406.12881 (2024) - 2023
- [i12]Ryan Humble, Zhe Zhang, Finn H. O'Shea, Eric Darve, Daniel Ratner:
Coincident Learning for Unsupervised Anomaly Detection. CoRR abs/2301.11368 (2023) - [i11]Sathya R. Chitturi, Zhurun Ji, Alexander Petsch, Cheng Peng
Capturing dynamical correlations using implicit neural representations. CoRR abs/2304.03949 (2023) - [i10]Ryan Humble, William Colocho, Finn H. O'Shea, Daniel Ratner, Eric Darve:
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source. CoRR abs/2309.02333 (2023) - 2022
- [c8]Anwesha Das, Daniel Ratner, Alex Aiken:
Performance Variability and Causality in Complex Systems. ACSOS-C 2022: 19-24 - [c7]Axel Levy
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. ECCV (21) 2022: 540-557 - [c6]Hongwei Chen
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. XLOOP@SC 2022: 1-9 - [i9]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. CoRR abs/2203.08138 (2022) - [i8]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 abs/2209.04587 (2022) - [i7]Youssef S. G. 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 abs/2209.15121 (2022) - [i6]Minjie Lei
Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector. CoRR abs/2211.01505 (2022) - 2021
- [c5]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: 4049-4059 - [i5]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 abs/2107.02958 (2021) - 2020
- [c4]Jean-Raymond Betterton, Daniel Ratner, Samuel Webb, Mykel J. Kochenderfer
Reinforcement Learning for Adaptive Illumination with X-rays. ICRA 2020: 328-334 - [i4]Daniel Ratner:
Introduction to Machine Learning for Accelerator Physics. CoRR abs/2006.09913 (2020) - [i3]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 abs/2009.03566 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1911.01538 (2019) - 2017
- [i1]Eric Kingery, Michael S. Manley, Daniel Ratner:
Automating, Operationalizing and Productizing Journalistic Article Analysis. CoRR abs/1710.08522 (2017) - 2016
- [c3]Mitchell McIntire, Daniel Ratner, Stefano Ermon:
Sparse Gaussian Processes for Bayesian Optimization. UAI 2016
1990 – 1999
- 1990
- [j1]Daniel Ratner, Manfred K. Warmuth:
NxN Puzzle and Related Relocation Problem. J. Symb. Comput. 10(2): 111-138 (1990)
1980 – 1989
- 1986
- [c2]Daniel Ratner, Manfred K. Warmuth:
Finding a Shortest Solution for the N × N Extension of the 15-PUZZLE Is Intractable. AAAI 1986: 168-172 - [c1]Daniel Ratner, Ira Pohl:
Joint and LPA*: Combination of Approximation and Search. AAAI 1986: 173-177
Coauthor Index
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