Alexander Scheinker

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics	2025	Alexander Scheinker
+ PDF Chat	QP Based Constrained Optimization for Reliable PINN Training	2024	Alan Williams Christopher Leon Alexander Scheinker
+ PDF Chat	CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning	2024	Mahindra Rautela Alan Williams Alexander Scheinker
+ PDF Chat	Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal	2024	Mahindra Rautela Alan Williams Alexander Scheinker
+ PDF Chat	cDVAE: Multimodal Generative Conditional Diffusion Guided by Variational Autoencoder Latent Embedding for Virtual 6D Phase Space Diagnostics	2024	Alexander Scheinker
+ PDF Chat	Conditional Guided Generative Diffusion for Particle Accelerator Beam Diagnostics	2024	Alexander Scheinker
+ PDF Chat	Accelerator system parameter estimation using variational autoencoded latent regression	2024	Mahindra Rautela Alan Williams Alexander Scheinker
+ PDF Chat	Towards latent space evolution of spatiotemporal dynamics of six-dimensional phase space of charged particle beams	2024	Mahindra Rautela Alan Williams Alexander Scheinker
+ PDF Chat	Practical Safe Extremum Seeking with Assignable Rate of Attractivity to the Safe Set	2024	Alan Williams Miroslav Krstić Alexander Scheinker
+ PDF Chat	A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators	2024	Mahindra Rautela Alan Williams Alexander Scheinker
+ PDF Chat	Experimental Safe Extremum Seeking for Accelerators	2024	Alan Williams Alexander Scheinker E.-C. Huang C. Taylor Miroslav Krstić
+ PDF Chat	Semi-Global Practical Extremum Seeking with Practical Safety	2023	Alan Williams Miroslav Krstić Alexander Scheinker
+ PDF Chat	2022 Review of Data-Driven Plasma Science	2023	Rushil Anirudh Richard Archibald M. Salman Asif Markus M. Becker S. Benkadda Peer‐Timo Bremer Rick H. S. Budé C. S. Chang L. Chen R.M. Churchill
+ PDF Chat	Virtual-diagnostic-based time stamping for ultrafast electron diffraction	2023	Frederick Cropp L. Moos Alexander Scheinker Antonio Gilardi Da ju Wang Sergio Paiagua C. Serrano P. Musumeci D. Filippetto
+ PDF Chat	Physics-constrained 3D convolutional neural networks for electrodynamics	2023	Alexander Scheinker Reeju Pokharel
+	Physics-constrained 3D Convolutional Neural Networks for Electrodynamics	2023	Alexander Scheinker Reeju Pokharel
+	Virtual-Diagnostic-Based Time Stamping for Ultrafast Electron Diffraction	2023	Frederick Cropp Lauren Moos Alexander Scheinker Antonio Gilardi Dan Wang Sergio Paiagua Carlos Serrano P. Musumeci D. Filippetto
+	Experimental Safe Extremum Seeking for Accelerators	2023	Alan Williams Alexander Scheinker E.-C. Huang C. Taylor Miroslav Krstić
+	Semi-Global Practical Extremum Seeking with Practical Safety	2023	Alan Williams Miroslav Krstić Alexander Scheinker
+ PDF Chat	Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning	2022	Phiala E. Shanahan K. Terao Daniel Whiteson Gert Aarts Andreas Adelmann N. Akchurin Andrei Alexandru O. Amram Anders Andreassen A. Apresyan
+ PDF Chat	<i>Colloquium</i>: Machine learning in nuclear physics	2022	A. Boehnlein Markus Diefenthaler N. Sato Malachi Schram V. Ziegler C. Fanelli M. Hjorth‐Jensen T. Horn Michelle Kuchera Dean Lee
+	Adaptive Machine Learning for Time-Varying Systems: Towards 6D Phase Space Diagnostics of Short Intense Charged Particle Beams	2022	Alexander Scheinker Spencer Gessner
+	Feedback and control systems for future linear colliders: White Paper for Snowmass 2021 Topical Group AF07-RF	2022	D. Filippetto Carlos Serrano Qiang Du Lawrence Doolittle Dan Wang Michalis Bachtis P. Musumeci Alexander Scheinker John Power M. Bellaveglia
+	2022 Review of Data-Driven Plasma Science	2022	Rushil Anirudh Richard Archibald M. Salman Asif Markus M. Becker S. Benkadda Peer‐Timo Bremer Rick H. S. Budé C. S. Chang L. Chen R M Churchill
+ PDF Chat	Simulations of future particle accelerators: issues and mitigations	2021	D. Sagan Martin Berz Nathan Cook Yunxiao Hao Georg Hoffstaetter Axel Huebl Changgui Huang M. Harper Langston Christopher Mayes Chad Mitchell
+	Adaptive machine learning for time-varying systems: low dimensional latent space tuning	2021	Alexander Scheinker
+	Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning	2021	Alexander Scheinker
+	Adaptive Latent Space Tuning for Non-Stationary Distributions.	2021	Alexander Scheinker Frederick Cropp Sergio Paiagua D. Filippetto
+ PDF Chat	Adaptive Deep Learning for Time-Varying Systems With Hidden Parameters: Predicting Changing Input Beam Distributions of Compact Particle Accelerators	2021	Alexander Scheinker Frederick Cropp Sergio Paiagua D. Filippetto
+	Demonstration of adaptive machine learning-based distribution tracking on a compact accelerator: Towards enabling model-based 6D non-invasive beam diagnostics	2021	Alexander Scheinker Frederick Cropp Sergio Paiagua D. Filippetto
+	Adaptive Latent Space Tuning for Non-Stationary Distributions	2021	Alexander Scheinker Frederick Cropp Sergio Paiagua D. Filippetto
+	Adaptive deep learning for time-varying systems with hidden parameters: Predicting changing input beam distributions of compact particle accelerators	2021	Alexander Scheinker Frederick Cropp Sergio Paiagua D. Filippetto
+ PDF Chat	Adaptive 3D convolutional neural network-based reconstruction method for 3D coherent diffraction imaging	2020	Alexander Scheinker Reeju Pokharel
+ PDF Chat	Online multi-objective particle accelerator optimization of the AWAKE electron beam line for simultaneous emittance and orbit control	2020	Alexander Scheinker Simon Hirlaender Francesco Velotti Spencer Gessner G. Zevi Della Porta Verena Kain B. Goddard Rebecca Ramjiawan
+	Online Multi-Objective Particle Accelerator Optimization of the AWAKE Electron Beam Line for Simultaneous Emittance and Orbit Control	2020	Alexander Scheinker Simon Hirlaende Francesco Velotti Spencer Gessner Giovanni Zevi Della Port Verena Kain Rebecca Ramjiawan
+	Advanced Control Methods for Particle Accelerators (ACM4PA) 2019 Workshop Report	2020	Alexander Scheinker Claudio Emma Auralee Edelen Spencer Gessner
+	Online Multi-Objective Particle Accelerator Optimization of the AWAKE Electron Beam Line for Simultaneous Emittance and Orbit Control	2020	Alexander Scheinker Simon Hirlaende Francesco Velotti Spencer Gessner Giovanni Zevi Della Port Verena Kain Rebecca Ramjiawan
+ PDF Chat	Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"	2018	James Amundson J. Annis Camille Avestruz C. R. Bom D. Bowring João Caldeira G. B. Cerati Chia‐Hsuan Chang Scott Dodelson Joshua Einstein-Curtis
+	Phase space exchange-based bunch compression with reduced CSR effects.	2018	Alexander Malyzhenkov Alexander Scheinker
+	Extremum Seeking Optimal Controls of Unknown Systems	2018	Alexander Scheinker David Scheinker
+	Phase space exchange-based bunch compression with reduced CSR effects	2018	Alexander Malyzhenkov Alexander Scheinker
+	Extremum Seeking Optimal Controls of Unknown Systems	2018	Alexander Scheinker David Scheinker
+ PDF Chat	Extremum Seeking for Stabilization of Systems Not Affine in Control	2016	Alexander Scheinker Miroslav Krstić
+ PDF Chat	Suppression of space charge induced beam halo in nonlinear focusing channel	2016	Yuri Batygin Alexander Scheinker Sergey Kurennoy Chao Li
+	Extremum Seeking for Stabilization of Systems Not Affine in Control	2016	Alexander Scheinker David Scheinker
+	Introduction to Control Theory. Part 2. Laplace Transforms and Linear Systems	2015	Alexander Scheinker
+	Singularly Perturbed Lie Bracket Approximation	2015	Hans-Bernd Dürr Miroslav Krstić Alexander Scheinker Christian Ebenbauer

Common Coauthors

Coauthor	Papers Together
D. Filippetto	8
Frederick Cropp	7
Sergio Paiagua	7
Miroslav Krstić	7
Spencer Gessner	6
Alan Williams	5
Mahindra Rautela	5
Rebecca Ramjiawan	3
Reeju Pokharel	3
Francesco Velotti	3
Alan Williams	3
David Scheinker	3
Verena Kain	3
P. Musumeci	3
J. Citrin	2
Jim Gaffney	2
Carlos Serrano	2
K. Krushelnick	2
Kristian Wende	2
Walter Gekelman	2
Haimin Wang	2
David Pugmire	2
Antonio Gilardi	2
D. P. Schissel	2
Erik Olofsson	2
Tatsuya Yokoyama	2
Jaegu Seong	2
Daniel Winklehner	2
C. Taylor	2
Jonathan Tennyson	2
Richard Archibald	2
N. J. Mason	2
R. J. Shalloo	2
B. K. Spears	2
Lei Chen	2
I. Murakami	2
Alan Williams	2
Scott Klasky	2
T. Ma	2
Jun Shinagawa	2
J. L. Kline	2
J. L. Peterson	2
Bogdan Kustowski	2
B. Nord	2
Sören Jalas	2
Dan Wang	2
Ana Gainaru	2
Rushil Anirudh	2
Markus M. Becker	2
Risi Kondor	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Bayesian Optimization of a Free-Electron Laser	2020	Joseph Duris Dylan Kennedy Adi Hanuka J. Shtalenkova Auralee Edelen Panagiotis Baxevanis Adam Egger Tyler Cope Mitchell McIntire Stefano Ermon	9
+ PDF Chat	Accurate and confident prediction of electron beam longitudinal properties using spectral virtual diagnostics	2021	Adi Hanuka Claudio Emma T. Maxwell A. Fisher Bryce Jacobson M. J. Hogan Zhirong Huang	8
+ PDF Chat	Machine learning for orders of magnitude speedup in multiobjective optimization of particle accelerator systems	2020	Auralee Edelen Nicole Neveu Matthias Frey Yannick Huber Christopher Mayes Andreas Adelmann	8
+	Adaptive machine learning for time-varying systems: low dimensional latent space tuning	2021	Alexander Scheinker	6
+ PDF Chat	Uncertainty quantification for virtual diagnostic of particle accelerators	2021	Owen Convery Lewis Smith Yarin Gal Adi Hanuka	6
+	Reconstruction of Storage Ring 's Linear Optics with Bayesian Inference	2019	Yue Hao Yongjun Li Michael Balcewicz Léo Neufcourt Weixing Cheng	6
+	Analysis of beam position monitor requirements with Bayesian Gaussian regression	2019	Yongjun Li Yue Hao Weixing Cheng Robert Rainer	6
+	Machine learning for beam dynamics studies at the CERN Large Hadron Collider	2020	Pasquale Arpaïa Gabriella Azzopardi F. Blanc Giuseppe Bregliozzi Xavier Buffat Loic Coyle Elena Fol Francesco Giordano M. Giovannozzi Tatiana Pieloni	6
+ PDF Chat	Acceleration of electrons in the plasma wakefield of a proton bunch	2018	E. Adli Amit Ahuja O. Apsimon R. Apsimon Andreas Bachmann D. Barrientos F. Batsch J. Bauche Veronica Olsen M. Bernardini	5
+ PDF Chat	Adaptive 3D convolutional neural network-based reconstruction method for 3D coherent diffraction imaging	2020	Alexander Scheinker Reeju Pokharel	5
+ PDF Chat	Bayesian approach for linear optics correction	2019	Yongjun Li Robert Rainer Weixing Cheng	5
+	Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL	2020	Simon Hirlaender Niky Bruchon	5
+ PDF Chat	Adaptive Deep Learning for Time-Varying Systems With Hidden Parameters: Predicting Changing Input Beam Distributions of Compact Particle Accelerators	2021	Alexander Scheinker Frederick Cropp Sergio Paiagua D. Filippetto	5
+ PDF Chat	Online multi-objective particle accelerator optimization of the AWAKE electron beam line for simultaneous emittance and orbit control	2020	Alexander Scheinker Simon Hirlaender Francesco Velotti Spencer Gessner G. Zevi Della Porta Verena Kain B. Goddard Rebecca Ramjiawan	5
+ PDF Chat	Automation and control of laser wakefield accelerators using Bayesian optimization	2020	R. J. Shalloo S. J. D. Dann J.-N. Gruse C. I. D. Underwood Andre Antoine C. Arran Michael Backhouse C. D. Baird Mario Balcazar Nicolas Bourgeois	5
+ PDF Chat	Exact representations of many-body interactions with restricted-Boltzmann-machine neural networks	2021	Ermal Rrapaj Alessandro Roggero	5
+ PDF Chat	High-Fidelity Prediction of Megapixel Longitudinal Phase-Space Images of Electron Beams Using Encoder-Decoder Neural Networks	2021	Jun Zhu Ye Chen Frank Brinker Winfried Decking Sergey Tomin H. Schlarb	4
+ PDF Chat	Multiobjective Bayesian optimization for online accelerator tuning	2021	Ryan Roussel Adi Hanuka Auralee Edelen	4
+ PDF Chat	Multiobjective optimization of the dynamic aperture using surrogate models based on artificial neural networks	2021	M. Kranjčević Bernard Riemann Andreas Adelmann A. Streun	4
+ PDF Chat	Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model	2019	Shaozhi Li Philip M. Dee Ehsan Khatami Steven Johnston	4
+ PDF Chat	A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators	2021	Li Sichen Mélissa Zacharias J. Snuverink J. Coello de Portugal Fernando Pérez‐Cruz Davide Reggiani Andreas Adelmann	3
+	Deep Learning-Based Autoencoder for Data-Driven Modeling of an RF Photoinjector.	2021	Jun Zhu Ye Chen Frank Brinker Winfried Decking Sergey Tomin H. Schlarb	3
+ PDF Chat	Machine learning phases of matter	2017	Juan Carrasquilla Roger G. Melko	3
+ PDF Chat	Machine learning and the physical sciences	2019	Giuseppe Carleo J. I. Cirac K. Cranmer Laurent Daudet Maria Schuld Naftali Tishby Leslie Vogt-Maranto Lenka Zdeborová	3
+ PDF Chat	Lie bracket approximation of extremum seeking systems	2013	Hans-Bernd Dürr Miloš S. Stanković Christian Ebenbauer Karl Henrik Johansson	3
+	Optimizing the Latent Space of Generative Networks	2017	Piotr Bojanowski Armand Joulin David López-Paz Arthur Szlam	2
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	2
+	Generalized correlation integral vectors: A distance concept for chaotic dynamical systems	2015	Heikki Haario Leonid Kalachev Janne Hakkarainen	2
+ PDF Chat	Robust, open-source removal of systematics in Kepler data	2017	S. Aigrain H. Parviainen Stephen Roberts Steven Reece T. M. Evans	2
+	Fluid moment models for Landau damping with application to the ion-temperature-gradient instability	1990	G. W. Hammett F. W. Perkins	2
+ PDF Chat	Relativistic electron beams driven by kHz single-cycle light pulses	2017	D. Guénot D. Gustas Aline Vernier B. Beaurepaire Frederik Böhle Maïmouna Bocoum Magali Lozano Aurélie Jullien Rodrigo López-Martens A. Lifschitz	2
+	Hidden physics models: Machine learning of nonlinear partial differential equations	2017	Maziar Raissi George Em Karniadakis	2
+ PDF Chat	Efficient MCMC for Climate Model Parameter Estimation: Parallel Adaptive Chains and Early Rejection	2012	Antti Solonen Pirkka Ollinaho Marko Laine Heikki Haario J. Tamminen Heikki Järvinen	2
+	Singular Perturbation for Stiff Equations Using Numerical Methods	1985	S. H. Lam	2
+ PDF Chat	Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning	2017	Álvaro Sánchez‐González Paul Micaelli Carel P. Olivier T. Barillot Markus Ilchen Alberto Lutman Agostino Marinelli T. Maxwell Alexander Achner Marcus Agåker	2
+	Geometric MCMC for infinite-dimensional inverse problems	2016	Alexandros Beskos Mark Girolami Shiwei Lan Patrick E. Farrell Andrew M. Stuart	2
+ PDF Chat	Discovering phase transitions with unsupervised learning	2016	Lei Wang	2
+ PDF Chat	Generative Visual Manipulation on the Natural Image Manifold	2016	Jun-Yan Zhu Philipp Krähenbühl Eli Shechtman Alexei A. Efros	2
+ PDF Chat	ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost	2017	Justin S. Smith Olexandr Isayev Adrián E. Roitberg	2
+ PDF Chat	Gradient-based optimization for regression in the functional tensor-train format	2018	Alex Gorodetsky John Jakeman	2
+	RADICAL-Pilot: Scalable Execution of Heterogeneous and Dynamic Workloads on Supercomputers.	2015	André Merzky Mark Santcroos Matteo Turilli Shantenu Jha	2
+ PDF Chat	Coherent control of plasma dynamics	2015	Z.-H. He B. Hou V. Lebailly J. Nees K. Krushelnick A. G. R. Thomas	2
+ PDF Chat	An Adaptive Metropolis Algorithm	2001	Heikki Haario Eero Saksman J. Tamminen	2
+	A spectral, quasi-cylindrical and dispersion-free Particle-In-Cell algorithm	2016	Rémi Lehe Manuel Kirchen I. A. Andriyash Brendan B. Godfrey Jean-Luc Vay	2
+ PDF Chat	Compression of Subrelativistic Space-Charge-Dominated Electron Bunches for Single-Shot Femtosecond Electron Diffraction	2010	T. van Oudheusden P.L.E.M. Pasmans S.B. van der Geer M. J. de Loos M.J. van der Wiel O.J. Luiten	2
+ PDF Chat	Synthetic aperture microwave imaging with active probing for fusion plasma diagnostics	2012	V. Shevchenko R. G. L. Vann S. J. Freethy B. K. Huang	2
+	Supervised Learning with Quantum-Inspired Tensor Networks	2016	E. Miles Stoudenmire David J. Schwab	2
+	A KINETIC DATABASE FOR ASTROCHEMISTRY (KIDA)	2012	Valentine Wakelam Eric Herbst Jean‐Christophe Loison Ian W. M. Smith Vijayanand Chandrasekaran B. Pavone Nigel G. Adams Marie-Christine Bacchus-Montabonel Astrid Bergeat K. Béroff	2
+	Compressed sensing with coherent and redundant dictionaries	2010	Emmanuel J. Candès Yonina C. Eldar Deanna Needell Paige Randall	2
+ PDF Chat	LIII. <i>On lines and planes of closest fit to systems of points in space</i>	1901	Karl Pearson	2