CDF way to the grid
Sarkar, S
Sfiligoi, I
Belforte, S
Fella, A
Hsu, S
Jeans, D
Lipeles, E
Lucch-esi, D
Neubauer, M
Paoli, F
Wuerthwein, F
Proceedings of Science
volume 21
(01 Jan 2005)
CMS data and workflow management system
Fanfani, A
Bonacorsi, B
Ibacchi, W
Codispoti, G
De Filippis, N
Pompili, A
My, S
Abbrescia, M
Maggi, G
Donvito, G
Silvestris, L
Calzolari, F
Sarkar, S
Spiga, D
Cinquili, M
Lacaprara, S
Biasotto, M
Farina, F
Merlo, M
Belforte, S
Kavka, C
Sala, L
Harvey, J
Hufnagel, D
Fanzago, F
Corvo, M
Magini, N
Rehn, J
Toteva, Z
Feichtinger, D
Tuura, L
Eulisse, G
Bockelman, B
Lundstedt, C
Egeland, R
Evans, D
Mason, D
Gutsche, O
Sexton-Kennedy, L
Dagenhart, D
Afaq, A
Guo, Y
Kosyakov, S
Lueking, L
Sekhri, V
Fisk, I
McBride, P
Bauerdick, L
Bakken, J
Rossman, P
Wicklund, E
Wu, Y
Jones, C
Kuznetsov, V
Riley, D
Dolgert, A
Van Lingen, F
Narsky, I
Paus, C
Klute, M
Gomez-Ceballos, G
Piedra-Gomez, J
Miller, M
Mohapatra, A
Lazaridis, C
Bradley, D
Elmer, P
Wildish, T
Wuerthwein, F
Letts, J
Bourilkov, D
Kim, B
Smith, P
Hernandez, J
Caballero, J
Delgado, A
Flix, J
Cabrillo-Bartolome, I
Kasemann, M
Flossdorf, A
Stadie, H
Kreuzer, P
Khomitch, A
Hof, C
Zeidler, C
Kalini, S
Trunov, A
Saout, C
Felzmann, U
Metson, S
Newbold, D
Geddes, N
Brew, C
Jackson, J
Wakefield, S
De Weirdt, S
Adler, V
Maes, J
Van Mulders, P
Villella, I
Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications - Proceedings of the 10th Conference
441-445
(01 Jan 2008)
Tue, 07 Mar 2023
12:00 -
13:00
L6
"On (non-)Brownian filtrations and harmonic measure" and "Neural Controlled Differential Equations: The Log-ODE Method"
Dmitry Belyaev and Benjamin Walker
Tue, 21 Feb 2023
12:00 -
13:00
L6
“Scaling limits of Deep Residual Networks” and "Non-equilibrium fluctuations and SPDE with conservative noise"
Alain Rossier and Benjamin Fehrman
Partition functions and fibering operators on the Coulomb branch of 5d SCFTs
Closset, C
Magureanu, H
Journal of High Energy Physics
volume 2023
issue 1
35-
(10 Jan 2023)
Thu, 11 May 2023
14:00 -
15:00
Lecture Room 3
A coordinate descent algorithm on the Stiefel manifold for deep neural network training
Estelle Massart
(UC Louvain)
Abstract
We propose to use stochastic Riemannian coordinate descent on the Stiefel manifold for deep neural network training. The algorithm rotates successively two columns of the matrix, an operation that can be efficiently implemented as a multiplication by a Givens matrix. In the case when the coordinate is selected uniformly at random at each iteration, we prove the convergence of the proposed algorithm under standard assumptions on the loss function, stepsize and minibatch noise. Experiments on benchmark deep neural network training problems are presented to demonstrate the effectiveness of the proposed algorithm.
Thu, 15 Jun 2023
14:00 -
15:00
Lecture Room 3
26 Years at Oxford
Nick Trefethen
(Oxford University)
Abstract
I will reflect on my time as Professor of Numerical Analysis.
Introduction to the special collection in honor of Avner Friedman
Othmer, H
Lou, Y
Maini, P
Ledzewicz, U
Journal of Mathematical Biology
volume 86
issue 3
(25 Jan 2023)