Literatura académica sobre el tema "Infinite-width limit"
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Artículos de revistas sobre el tema "Infinite-width limit"
Pastur, L. "Eigenvalue distribution of large random matrices arising in deep neural networks: Orthogonal case". Journal of Mathematical Physics 63, n.º 6 (1 de junio de 2022): 063505. http://dx.doi.org/10.1063/5.0085204.
Texto completoPacelli, R., S. Ariosto, M. Pastore, F. Ginelli, M. Gherardi y P. Rotondo. "A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit". Nature Machine Intelligence 5, n.º 12 (18 de diciembre de 2023): 1497–507. http://dx.doi.org/10.1038/s42256-023-00767-6.
Texto completoThorkildsen, Gunnar y Helge B. Larsen. "X-ray diffraction in perfect t × l crystals. Rocking curves". Acta Crystallographica Section A Foundations of Crystallography 55, n.º 5 (1 de septiembre de 1999): 840–54. http://dx.doi.org/10.1107/s0108767399002986.
Texto completoKarr, D. G., J. C. Watson y M. HooFatt. "Three-Dimensional Analysis of Ice Sheet Indentation: Limit Analysis Solutions". Journal of Offshore Mechanics and Arctic Engineering 111, n.º 1 (1 de febrero de 1989): 63–69. http://dx.doi.org/10.1115/1.3257141.
Texto completoLanda, Haggai, Cecilia Cormick y Giovanna Morigi. "Static Kinks in Chains of Interacting Atoms". Condensed Matter 5, n.º 2 (13 de mayo de 2020): 35. http://dx.doi.org/10.3390/condmat5020035.
Texto completoAKHMEDIEV, N., J. M. SOTO-CRESPO, M. GRAPINET y Ph GRELU. "DISSIPATIVE SOLITON PULSATIONS WITH PERIODS BEYOND THE LASER CAVITY ROUND TRIP TIME". Journal of Nonlinear Optical Physics & Materials 14, n.º 02 (junio de 2005): 177–94. http://dx.doi.org/10.1142/s0218863505002645.
Texto completoZeng, Y. y S. Weinbaum. "Stokes flow through periodic orifices in a channel". Journal of Fluid Mechanics 263 (25 de marzo de 1994): 207–26. http://dx.doi.org/10.1017/s0022112094004088.
Texto completoDELEBECQUE, FANNY. "AN ASYMPTOTIC MODEL FOR THE TRANSPORT OF AN ELECTRON GAS IN A SLAB". Mathematical Models and Methods in Applied Sciences 21, n.º 07 (julio de 2011): 1443–78. http://dx.doi.org/10.1142/s0218202511005453.
Texto completoVOJTA, MATTHIAS, YING ZHANG y SUBIR SACHDEV. "RENORMALIZATION GROUP ANALYSIS OF QUANTUM CRITICAL POINTS IN d-WAVE SUPERCONDUCTORS". International Journal of Modern Physics B 14, n.º 29n31 (20 de diciembre de 2000): 3719–34. http://dx.doi.org/10.1142/s0217979200004271.
Texto completoJagannathan, Arjun, Kraig Winters y Laurence Armi. "Stratified Flows over and around Long Dynamically Tall Mountain Ridges". Journal of the Atmospheric Sciences 76, n.º 5 (1 de mayo de 2019): 1265–87. http://dx.doi.org/10.1175/jas-d-18-0145.1.
Texto completoTesis sobre el tema "Infinite-width limit"
Hajjar, Karl. "A dynamical analysis of infinitely wide neural networks". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASM001.
Texto completoNeural networks have had tremendous success in many practical tasks over the last decade, yet the theoretical reasons behind their performance are poorly understood and we lack a proper mathematical theory to rigorously study the properties of those objects. Infinite-width limits of neural networks have recently emerged as a way to shed light on some of the aspects of the problem. In this thesis, we study the infinite-width limit of networks of different depths under a particular scaling often referred to as the ''mean-field'' scaling in the literature. Part of the reason why neural networks are difficult to analyze from a theoretical standpoint is because they are highly non-linear and involve a huge amount of parameters, or weights, (up to hundreds of billions in practice) which interact as they are updated during gradient descent. We investigate the optimization trajectories of the infinite-width limit of neural networks during training in order to exhibit properties of those models in simple settings such as fully-connected networks with one or more hidden layers. This thesis focuses on different aspects of the optimization dynamics of networks in the infinite-width limit: from methods to enable training those models at arbitrary depths to the symmetry properties that can emerge in that limit as well as novel optimization algorithms which adapt the number of neurons in an on-line fashion during training
Actas de conferencias sobre el tema "Infinite-width limit"
Osinski, Marek, Mohammad Mojahedie y Michael W. Prairie. "Density of states in finite-barrier quantum wells". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.mz4.
Texto completoGordon, J. L. y D. P. Jones. "Application of a Sixth Order Generalized Stress Function for Determining Limit Loads for Plates with Triangular Penetration Patterns". En ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1298.
Texto completoMukoyama, Hiroshi, Shigeyuki Shimachi y Yoshihide Hakozaki. "Contact Pressure Estimates of Tooth Surfaces of Gear Couplings". En ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/ptg-14452.
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