Risultati di ricerca
5 giu 2024 · We introduce a practical algorithm based on variational auto-encoders and empirically demonstrate in realistic synthetic settings that we can (i) recover latent state dynamics with high accuracy, (ii) correspondingly achieve high future prediction accuracy, and (iii) adapt fast to new environments. Submission history.
- arXiv:2406.03337 [cs.LG]
6 giu 2024 · Define and calculate combinations including structure self weight. Follow the steps described in the Non convergence of nonlinear analysis for simple load cases for a model with unidirectional supports or soil (uplift allowed) in Robot Structural Analysis article.
24 giu 2024 · Description. nlsur() is used to fit nonlinear regression models. It can handle the feasible and iterative feasible variants. Usage. nlsur( eqns, data, startvalues, type = NULL, S = NULL, trace = FALSE, robust = FALSE, stata = TRUE, qrsolve = FALSE, weights, MASS = FALSE, maxiter = 1000, val = 0, tol = 1e-07, eps = 1e-05, ifgnlseps = 1e-10,
6 giorni fa · Despite the linearity of their input-output map, such networks have nonlinear gradient descent dynamics on weights that change with the addition of each new hidden layer.
10 giu 2024 · We consider the discretized version of the sigma-model with supersphere target space ( +. 2 |2 )/ ( + 2 − 1|2 ) introduced in [1] and present a preliminary numerical study of bosonic and fermionic two-point functions for the cases (3|2) and (5|2).
6 giu 2024 · To develop a deep learning-based image-domain method to generate low-dose CT images from clinical-dose CT (CDCT) images for non-linear reconstruction methods. Methods
6 giorni fa · Multiplicity and nonexistence of positive solutions to impulsive Sturm–Liouville boundary value problems. In this paper, we study the existence, nonexistence, and multiplicity of positive solutions to a nonlinear impulsive Sturm–Liouville boundary value problem with a parameter. By using a variational method, we p...
