Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Frank Wood"'
Autor:
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Ścibior, Boyan Beronov, John Grefenstette, Duncan Campbell, S. Ali Nasseri
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2022)
In this work we demonstrate how to automate parts of the infectious disease-control policy-making process via performing inference in existing epidemiological models. The kind of inference tasks undertaken include computing the posterior distribution
Externí odkaz:
https://doaj.org/article/3cc9b6795bf5415da283bc4bd75e3b7f
Publikováno v:
Religions, Vol 9, Iss 6, p 193 (2018)
This paper provides a review of the literature that assesses the relationship between religion and crime. Research on the relationship between religion and crime indicates that certain aspects of religion reduces participation in criminal activity. A
Externí odkaz:
https://doaj.org/article/db8018ff6fba4867b71bc5268a4b739d
Autor:
Frank Wood, Khanh T. Nguyen, Reginald L. Jaynes, Baruch Levush, Takuji Kimura, Igor A. Chernyavskiy, Dean E. Pershing, Colin D. Joye, Benjamin S. Albright, David K. Abe, Jeffrey P. Calame, Edward L. Wright, John Atkinson, John C. Rodgers, Alan M. Cook
Publikováno v:
IEEE Transactions on Electron Devices. 68:2492-2498
We present the experimental demonstration of a traveling-wave tube (TWT) power amplifier operating in the ${W}$ -band (75–110 GHz) frequency range. The device is based on a serpentine waveguide (SWG) amplification circuit, a slow wave circuit type
Autor:
David Poole, Frank Wood
Publikováno v:
Probabilistic and Causal Inference ISBN: 9781450395861
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5de546609450fd537abb5c418dfe7d0d
https://doi.org/10.1145/3501714.3501753
https://doi.org/10.1145/3501714.3501753
We develop a generic mechanism for generating vehicle-type specific sequences of waypoints from a probabilistic foundation model of driving behavior. Many foundation behavior models are trained on data that does not include vehicle information, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa968fbc6af649f8641c0f8089336f1f
Publikováno v:
ITSC
We develop a deep generative model built on a fully differentiable simulator for multi-agent trajectory prediction. Agents are modeled with conditional recurrent variational neural networks (CVRNNs), which take as input an ego-centric birdview image
Publikováno v:
IJCNN
Some of the most popular methods for improving the stability and performance of GANs involve constraining or regularizing the discriminator. In this paper we consider a largely overlooked regularization technique which we refer to as the Adversary's
Autor:
Frank Wood, Khanh T. Nguyen, John Pasour, John J. Petillo, Aaron Jensen, Spence Albright, Alexander Burke, Edward L. Wright
Publikováno v:
2020 IEEE 21st International Conference on Vacuum Electronics (IVEC).
To achieve higher output power while maintaining the compact size and weight of typical PPM-focused TWTs, we have explored options for incorporating a sheet or elliptical cross section electron beam in a coupled cavity or folded waveguide circuit. Th
Autor:
Igor A. Chernyavskiy, Alan M. Cook, Colin D. Joye, Takuji Kimura, Edward L. Wright, Frank Wood, Reginald L. Jaynes, Galen Aymar, Khanh T. Nguyen, John Atkinson, John C. Rodgers
Publikováno v:
2020 IEEE 21st International Conference on Vacuum Electronics (IVEC).
We present testing of a W-band traveling-wave tube (TWT) based on a serpentine waveguide circuit, powered by a 20 kV, 130mA electron gun. We measure peak output power of 215±2W at 93 GHz with 20.1±0.15dB saturated gain, and>100 W from 88-98 GHz, pu
Autor:
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Ścibior, Boyan Beronov, John Grefenstette, Duncan Campbell, S. Ali Nasseri
Publikováno v:
Frontiers in artificial intelligence. 4
In this work we demonstrate how to automate parts of the infectious disease-control policy-making process via performing inference in existing epidemiological models. The kind of inference tasks undertaken include computing the posterior distribution