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Journal Articles
- 2020
[j9]Michael Andrews
, Manfred Paulini, Sergei Gleyzer, Barnabás Póczos:
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC. Comput. Softw. Big Sci. 4(1) (2020)- 2016
- [j8]Jack Chen, Samir Jindel, Robert Walzer, Rajkumar Sen, Nika Jimsheleishvilli, Michael Andrews:
The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database. Proc. VLDB Endow. 9(13): 1401-1412 (2016) - 2008
- [j7]Daquan Huang, Tim R. LaRocca, Mau-Chung Frank Chang, Lorene Samoska, Andy Fung, Richard L. Campbell, Michael Andrews:
Terahertz CMOS Frequency Generator Using Linear Superposition Technique. IEEE J. Solid State Circuits 43(12): 2730-2738 (2008) - 1985
- [j6]Michael Andrews:
Adaptive filtering prediction and control. IEEE Trans. Acoust. Speech Signal Process. 33(1): 337-338 (1985) - 1982
- [j5]Michael Andrews:
Mathematical Microprocessor Software: A x Comparison. IEEE Micro 2(2): 63-79 (1982) - 1978
- [j4]Michael Andrews:
Influence of architecture on numerical algorithms. Microprocess. 2(3): 130-137 (1978) - [j3]Michael Andrews, Thomas Mraz:
Unified elementary function generator. Microprocess. 2(5): 270-274 (1978) - [j2]Michael Andrews:
Rocky Mountain symposium on microcomputers: 27-30 August 1978, Colorado State University, Ft Collins, Colorado, USA. Organized by the Department of Electrical Engineering, Colorado State University. Microprocess. 2(6): 360 (1978) - 1975
- [j1]Michael Andrews, Granino A. Korn:
Hybrid Computer Methods for Direct Functional Optimization. IEEE Trans. Computers 24(10): 958-965 (1975)
Conference and Workshop Papers
- 2019
- [c5]Zeljko Medenica, Radovan Miucic, Michael Andrews:
Integrating a Real Vehicle Into a Physics-Based Driving Simulator for Human-Machine Interaction Research. HSI 2019: 174-178 - 2007
- [c4]Michael Andrews, Jeremy Johnson:
Performance Analysis of a Family of WHT Algorithms. IPDPS 2007: 1-8 - 1988
- [c3]Michael Andrews, F. Lam:
A new rapid prototyping firmware (RPF) tool. MICRO 1988: 94-96 - 1976
- [c2]Michael Andrews:
A bit slice architecture for microprogrammable machines. MICRO 1976: 5-8 - 1973
- [c1]Michael Andrews:
Microdiagnostics for minicomputers. MICRO 1973: 120-121
Informal and Other Publications
- 2023
- [i6]Abhirami Harilal, Kyungmin Park, Michael Andrews, Manfred Paulini:
Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter. CoRR abs/2308.16659 (2023) - 2022
- [i5]Michael Andrews, Manfred Paulini, Luke Sellers, Alexey Bobrick, Gianni Martire, Haydn Vestal:
DeepSNR: A deep learning foundation for offline gravitational wave detection. CoRR abs/2207.04749 (2022) - 2021
- [i4]Michael Andrews, Bjorn Burkle, Yi-Fan Chen, Davide DiCroce, Sergei Gleyzer, Ulrich Heintz, Meenakshi Narain, Manfred Paulini, Nikolas Pervan, Yusef Shafi, Wei Sun, Kun Yang:
End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data. CoRR abs/2104.14659 (2021) - 2019
- [i3]Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabás Póczos, Emanuele Usai:
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data. CoRR abs/1902.08276 (2019) - 2018
- [i2]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata:
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - [i1]Michael Andrews, Manfred Paulini, Sergei Gleyzer, Barnabás Póczos:
End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC. CoRR abs/1807.11916 (2018)
Coauthor Index
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