Zobrazeno 1 - 10
of 10 745
pro vyhledávání: '"P. Kenyon"'
Autor:
Mascareñas, David, Green, Andre, Liao, Ashlee, Torrez, Michael, Cattaneo, Alessandro, Black, Amber, Bernardin, John, Kenyon, Garrett
Publikováno v:
International Modal Analysis Conference, Orlando, FL, 2024
We demonstrate the suitability of high dynamic range, high-speed, neuromorphic event-based, dynamic vision sensors for metallic additive manufacturing and welding for in-process monitoring applications. In-process monitoring to enable quality control
Externí odkaz:
http://arxiv.org/abs/2411.13108
Autor:
Kenyon, Richard, Wu, Haihan
We define $2n$-multiwebs on planar graphs and discuss their relation with $\mathrm{Sp}(2n)$-webs. On a planar graph with a symplectic local system we define a matrix whose Pfaffian is the sum of traces of $2n$-multiwebs. As application we generalize
Externí odkaz:
http://arxiv.org/abs/2411.03153
Autor:
Kenyon-Dean, Kian, Wang, Zitong Jerry, Urbanik, John, Donhauser, Konstantin, Hartford, Jason, Saberian, Saber, Sahin, Nil, Bendidi, Ihab, Celik, Safiye, Fay, Marta, Vera, Juan Sebastian Rodriguez, Haque, Imran S, Kraus, Oren
Large-scale cell microscopy screens are used in drug discovery and molecular biology research to study the effects of millions of chemical and genetic perturbations on cells. To use these images in downstream analysis, we need models that can map eac
Externí odkaz:
http://arxiv.org/abs/2411.02572
Autor:
Bendidi, Ihab, Whitfield, Shawn, Kenyon-Dean, Kian, Yedder, Hanene Ben, Mesbahi, Yassir El, Noutahi, Emmanuel, Denton, Alisandra K.
Understanding the relationships among genes, compounds, and their interactions in living organisms remains limited due to technological constraints and the complexity of biological data. Deep learning has shown promise in exploring these relationship
Externí odkaz:
http://arxiv.org/abs/2410.13956
Autor:
Cunningham, Tim, Caiazzo, Ilaria, Prusinski, Nikolaus Z., Fuller, James, Raymond, John C., Kulkarni, S. R., Neill, James D., Duffell, Paul, Martin, Chris, Toloza, Odette, Charbonneau, David, Kenyon, Scott J., Lin, Zeren, Matuszewski, Mateusz, McGurk, Rosalie, Polin, Abigail, Yao, Philippe Z.
The recently discovered Pa 30 nebula, the putative type Iax supernova remnant associated with the historical supernova of 1181 AD, shows puzzling characteristics that make it unique among known supernova remnants. In particular, Pa 30 exhibits a comp
Externí odkaz:
http://arxiv.org/abs/2410.10940
The Cold Posterior Effect (CPE) is a phenomenon in Bayesian Deep Learning (BDL), where tempering the posterior to a cold temperature often improves the predictive performance of the posterior predictive distribution (PPD). Although the term `CPE' sug
Externí odkaz:
http://arxiv.org/abs/2410.05757
Autor:
Ng, Kenyon, Wei, Susan
Variational inference in Bayesian deep learning often involves computing the gradient of an expectation that lacks a closed-form solution. In these cases, pathwise and score-function gradient estimators are the most common approaches. The pathwise es
Externí odkaz:
http://arxiv.org/abs/2410.05753
Autor:
Gorin, Vadim, Kenyon, Richard
We study limit shapes in two equivalent models: the six-vertex model in the $c\to0$ limit and the random Mallows permutation with restricted permutation matrix. We give the Euler-Lagrange equation for the limit shape and show how to solve it for a cl
Externí odkaz:
http://arxiv.org/abs/2408.14446
This paper introduces the novel Droop-e grid-forming power electronic converter control strategy, which establishes a non-linear, active power--frequency droop relationship based on an exponential function of the power output. A primary advantage of
Externí odkaz:
http://arxiv.org/abs/2408.12709
Autor:
McIntyre, Isabel A., Carleton, Timothy, O'Brien, Rosalia, Windhorst, Rogier A., Caddy, Sarah, Cohen, Seth H., Jansen, Rolf A., MacKenty, John, Kenyon, Scott J.
The SKYSURF project constrained extragalactic background light (EBL) and diffuse light with the vast archive of Hubble Space Telescope (HST) images. Thermal emission from HST itself introduces an additional uncertain background and hinders accurate m
Externí odkaz:
http://arxiv.org/abs/2407.12290