Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Adam N."'
Autor:
Hutchins, Jack, Alam, Shamiul, Rampini, Dana S., Oripov, Bakhrom G., McCaughan, Adam N., Aziz, Ahmedullah
The relentless pursuit of miniaturization and performance enhancement in electronic devices has led to a fundamental challenge in the field of circuit design and simulation: how to accurately account for the inherent stochastic nature of certain devi
Externí odkaz:
http://arxiv.org/abs/2311.05820
Autor:
Linsley, Drew, Griffin, John, Brown, Jason Parker, Roose, Adam N, Frank, Michael, Linsley, Peter, Finkbeiner, Steven, Linsley, Jeremy
Recent breakthroughs by deep neural networks (DNNs) in natural language processing (NLP) and computer vision have been driven by a scale-up of models and data rather than the discovery of novel computing paradigms. Here, we investigate if scale can h
Externí odkaz:
http://arxiv.org/abs/2309.16773
Superconducting electronics are among the most promising alternatives to conventional CMOS technology thanks to the ultra-fast speed and ultra-high energy efficiency of the superconducting devices. Having a cryogenic control processor is also a cruci
Externí odkaz:
http://arxiv.org/abs/2306.10244
Autor:
Oripov, Bakhrom G., Rampini, Dana S., Allmaras, Jason, Shaw, Matthew D., Nam, Sae Woo, Korzh, Boris, McCaughan, Adam N.
For the last 50 years, superconducting detectors have offered exceptional sensitivity and speed for detecting faint electromagnetic signals in a wide range of applications. These detectors operate at very low temperatures and generate a minimum of ex
Externí odkaz:
http://arxiv.org/abs/2306.09473
Autor:
Bergquist, Jacob, Elmachtoub, Adam N.
We consider a general queueing model with price-sensitive customers in which the service provider seeks to balance two objectives, maximizing the average revenue rate and minimizing the average queue length. Customers arrive according to a Poisson pr
Externí odkaz:
http://arxiv.org/abs/2305.09168
In data-driven stochastic optimization, model parameters of the underlying distribution need to be estimated from data in addition to the optimization task. Recent literature considers integrating the estimation and optimization processes by selectin
Externí odkaz:
http://arxiv.org/abs/2304.06833
Autor:
Petropoulos, Fotios, Laporte, Gilbert, Aktas, Emel, Alumur, Sibel A., Archetti, Claudia, Ayhan, Hayriye, Battarra, Maria, Bennell, Julia A., Bourjolly, Jean-Marie, Boylan, John E., Breton, Michèle, Canca, David, Charlin, Laurent, Chen, Bo, Cicek, Cihan Tugrul, Cox Jr, Louis Anthony, Currie, Christine S. M., Demeulemeester, Erik, Ding, Li, Disney, Stephen M., Ehrgott, Matthias, Eppler, Martin J., Erdoğan, Güneş, Fortz, Bernard, Franco, L. Alberto, Frische, Jens, Greco, Salvatore, Gregory, Amanda J., Hämäläinen, Raimo P., Herroelen, Willy, Hewitt, Mike, Holmström, Jan, Hooker, John N., Işık, Tuğçe, Johnes, Jill, Kara, Bahar Y., Karsu, Özlem, Kent, Katherine, Köhler, Charlotte, Kunc, Martin, Kuo, Yong-Hong, Lienert, Judit, Letchford, Adam N., Leung, Janny, Li, Dong, Li, Haitao, Ljubić, Ivana, Lodi, Andrea, Lozano, Sebastián, Lurkin, Virginie, Martello, Silvano, McHale, Ian G., Midgley, Gerald, Morecroft, John D. W., Mutha, Akshay, Oğuz, Ceyda, Petrovic, Sanja, Pferschy, Ulrich, Psaraftis, Harilaos N., Rose, Sam, Saarinen, Lauri, Salhi, Said, Song, Jing-Sheng, Sotiros, Dimitrios, Stecke, Kathryn E., Strauss, Arne K., Tarhan, İstenç, Thielen, Clemens, Toth, Paolo, Berghe, Greet Vanden, Vasilakis, Christos, Vaze, Vikrant, Vigo, Daniele, Virtanen, Kai, Wang, Xun, Weron, Rafał, White, Leroy, Van Woensel, Tom, Yearworth, Mike, Yıldırım, E. Alper, Zaccour, Georges, Zhao, Xuying
Publikováno v:
Journal of the Operational Research Society (2024) 75(3)
Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This encyclopedic article consists of two main sections: methods and appli
Externí odkaz:
http://arxiv.org/abs/2303.14217
Autor:
McCaughan, Adam N., Oripov, Bakhrom G., Ganesh, Natesh, Nam, Sae Woo, Dienstfrey, Andrew, Buckley, Sonia M.
Publikováno v:
APL Machine Learning 1, 026118 (2023)
We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware. MGD utilizes zero-order optimization techniques for online training of hardware neural networks. We de
Externí odkaz:
http://arxiv.org/abs/2303.03986
We consider a personalized pricing problem in which we have data consisting of feature information, historical pricing decisions, and binary realized demand. The goal is to perform off-policy evaluation for a new personalized pricing policy that maps
Externí odkaz:
http://arxiv.org/abs/2302.12736
Autor:
Thiele, Frederik, Hummel, Thomas, McCaughan, Adam N., Brockmeier, Julian, Protte, Maximilian, Quiring, Victor, Lengeling, Sebastian, Eigner, Christof, Silberhorn, Christine, Bartley, Tim J.
Advanced electro-optic processing combines electrical control with optical modulation and detection. For quantum photonic applications these processes must be carried out at the single photon level with high efficiency and low noise. Integrated quant
Externí odkaz:
http://arxiv.org/abs/2302.12123