Convergence, design and training of continuous-time dropout as a random batch method
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Álvarez-López, Antonio, Hernández, Martín |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
From Consensus-Based Optimization to Evolution Strategies: Proof of Global Convergence
par: Fornasier, Massimo, et autres
Publié: (2026)
par: Fornasier, Massimo, et autres
Publié: (2026)
An Operator Learning Approach to Nonsmooth Optimal Control of Nonlinear PDEs
par: Song, Yongcun, et autres
Publié: (2024)
par: Song, Yongcun, et autres
Publié: (2024)
SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
par: Stein, Viktor, et autres
Publié: (2026)
par: Stein, Viktor, et autres
Publié: (2026)
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems
par: Wang, Zhongjian, et autres
Publié: (2022)
par: Wang, Zhongjian, et autres
Publié: (2022)
Medical Image Registration using optimal control of a linear hyperbolic transport equation with a DG discretization
par: Zapf, Bastian, et autres
Publié: (2023)
par: Zapf, Bastian, et autres
Publié: (2023)
Finite Element Analysis of Nash Equilibrium of Bi-objective Optimal Control Problem Governed by Stokes Equation with $L^2$-norm State-Constraints
par: Buda, Kedarnath, et autres
Publié: (2025)
par: Buda, Kedarnath, et autres
Publié: (2025)
Approximation of Splines in Wasserstein Spaces
par: Justiniano, Jorge, et autres
Publié: (2023)
par: Justiniano, Jorge, et autres
Publié: (2023)
Weak Adversarial Neural Pushforward Method for the McKean-Vlasov / Mean-Field Fokker-Planck Equation
par: He, Andrew Qing, et autres
Publié: (2026)
par: He, Andrew Qing, et autres
Publié: (2026)
Boundary shape reconstruction with Robin condition: existence result, stability analysis, and inversion via multiple measurements
par: Afraites, Lekbir, et autres
Publié: (2024)
par: Afraites, Lekbir, et autres
Publié: (2024)
A nonsmooth primal-dual method with interwoven PDE constraint solver
par: Jensen, Bjørn, et autres
Publié: (2022)
par: Jensen, Bjørn, et autres
Publié: (2022)
Detecting immersed obstacle in Stokes fluid flow using the coupled complex boundary method
par: Rabago, Julius Fergy Tiongson, et autres
Publié: (2024)
par: Rabago, Julius Fergy Tiongson, et autres
Publié: (2024)
A modularized algorithmic framework for interface related optimization problems using characteristic functions
par: Wang, Dong, et autres
Publié: (2022)
par: Wang, Dong, et autres
Publié: (2022)
Machine Learning-based quadratic closures for non-intrusive Reduced Order Models
par: Codega, Gabriele, et autres
Publié: (2025)
par: Codega, Gabriele, et autres
Publié: (2025)
An Adaptive Framework for Robust Structural Shape Optimization under Uncertainty
par: Altıntaş, Oğuz Han, et autres
Publié: (2026)
par: Altıntaş, Oğuz Han, et autres
Publié: (2026)
Weakly coupled systems of eikonal equations for autonomous vehicles
par: Chiri, Maria Teresa, et autres
Publié: (2023)
par: Chiri, Maria Teresa, et autres
Publié: (2023)
Hybrid Optimization Methods for Parameter Estimation of Reactive Transport Systems
par: Schytt, Marcus Johan, et autres
Publié: (2025)
par: Schytt, Marcus Johan, et autres
Publié: (2025)
Enforcing Mesh Quality Constraints in Shape Optimization with a Gradient Projection Method
par: Blauth, Sebastian, et autres
Publié: (2024)
par: Blauth, Sebastian, et autres
Publié: (2024)
Optimal Control of the Sabatier Process in Microchannel Reactors
par: Blauth, Sebastian, et autres
Publié: (2020)
par: Blauth, Sebastian, et autres
Publié: (2020)
Optimal coefficients for elliptic PDEs
par: Buttazzo, Giuseppe, et autres
Publié: (2025)
par: Buttazzo, Giuseppe, et autres
Publié: (2025)
Optimization problems for elliptic PDEs
par: Buttazzo, Giuseppe, et autres
Publié: (2026)
par: Buttazzo, Giuseppe, et autres
Publié: (2026)
Convergence of the Deep Galerkin Method for Mean Field Control Problems
par: Hofgard, William, et autres
Publié: (2024)
par: Hofgard, William, et autres
Publié: (2024)
Model Hierarchy for the Shape Optimization of a Microchannel Cooling System
par: Blauth, Sebastian, et autres
Publié: (2019)
par: Blauth, Sebastian, et autres
Publié: (2019)
Gâteaux semiderivative approach applied to shape optimization for contact problems
par: Goldammer, Nico, et autres
Publié: (2022)
par: Goldammer, Nico, et autres
Publié: (2022)
Exact a posteriori error control for variational problems via convex duality and explicit flux reconstruction
par: Bartels, Sören, et autres
Publié: (2024)
par: Bartels, Sören, et autres
Publié: (2024)
FieldTNN-based machine learning method for Maxwell eigenvalue problems
par: Jiang, Jiantao, et autres
Publié: (2024)
par: Jiang, Jiantao, et autres
Publié: (2024)
Solving Hamilton-Jacobi equations by minimizing residuals of monotone discretizations
par: Bokanowski, Olivier, et autres
Publié: (2026)
par: Bokanowski, Olivier, et autres
Publié: (2026)
Learning to Control: The iUzawa-Net for Nonsmooth Optimal Control of Linear PDEs
par: Song, Yongcun, et autres
Publié: (2026)
par: Song, Yongcun, et autres
Publié: (2026)
Inexact Adjoint Gradients and Directional Tolerances for Full-Potential Airfoil Optimization
par: Macedo, Humberto Gimenes, et autres
Publié: (2026)
par: Macedo, Humberto Gimenes, et autres
Publié: (2026)
Discretization and Convergence of the EIT Optimal Control Problem in 2D and 3D Domains
par: Abdulla, Ugur G., et autres
Publié: (2020)
par: Abdulla, Ugur G., et autres
Publié: (2020)
A space-time interface-fitted method for moving-subdomain distributed control problems with energy regularization
par: Nguyen, Quang Huy, et autres
Publié: (2025)
par: Nguyen, Quang Huy, et autres
Publié: (2025)
On the geometry and dynamical formulation of the Sinkhorn algorithm for optimal transport
par: Modin, Klas
Publié: (2023)
par: Modin, Klas
Publié: (2023)
Finite-difference least square methods for solving Hamilton-Jacobi equations using neural networks
par: Esteve-Yagüe, Carlos, et autres
Publié: (2024)
par: Esteve-Yagüe, Carlos, et autres
Publié: (2024)
Learning on the Temporal Tangent Bundle for Physics-Informed Neural Networks
par: Jamal, Adetola, et autres
Publié: (2026)
par: Jamal, Adetola, et autres
Publié: (2026)
Interior penalty discontinuous Galerkin methods for the nearly incompressible elasticity eigenvalue problem with heterogeneous media
par: Khan, Arbaz, et autres
Publié: (2024)
par: Khan, Arbaz, et autres
Publié: (2024)
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
par: Gu, Hyemin, et autres
Publié: (2022)
par: Gu, Hyemin, et autres
Publié: (2022)
Second-order optimality conditions for the bilinear optimal control of a degenerate equation
par: Kenne, Cyrille, et autres
Publié: (2022)
par: Kenne, Cyrille, et autres
Publié: (2022)
Convergence to good non-optimal critical points in the training of neural networks: Gradient descent optimization with one random initialization overcomes all bad non-global local minima with high probability
par: Ibragimov, Shokhrukh, et autres
Publié: (2022)
par: Ibragimov, Shokhrukh, et autres
Publié: (2022)
Learning Neural Pushforward Samplers for Distributions from Fokker-Planck Equations by Weak Adversarial Training
par: He, Andrew Qing, et autres
Publié: (2025)
par: He, Andrew Qing, et autres
Publié: (2025)
Space Mapping for PDE Constrained Shape Optimization
par: Blauth, Sebastian
Publié: (2022)
par: Blauth, Sebastian
Publié: (2022)
Boundary regularity of a fourth order Alt-Caffarelli problem and applications to the minimization of the critical buckling load
par: Lamboley, Jimmy, et autres
Publié: (2025)
par: Lamboley, Jimmy, et autres
Publié: (2025)
Documents similaires
-
From Consensus-Based Optimization to Evolution Strategies: Proof of Global Convergence
par: Fornasier, Massimo, et autres
Publié: (2026) -
An Operator Learning Approach to Nonsmooth Optimal Control of Nonlinear PDEs
par: Song, Yongcun, et autres
Publié: (2024) -
SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
par: Stein, Viktor, et autres
Publié: (2026) -
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems
par: Wang, Zhongjian, et autres
Publié: (2022) -
Medical Image Registration using optimal control of a linear hyperbolic transport equation with a DG discretization
par: Zapf, Bastian, et autres
Publié: (2023)