BrowNNe: Brownian Nonlocal Neurons & Activation Functions
Fuente:
arXiv
Guardado en:
| Autores principales: | Nagaraj, Sriram, Hickok, Truman |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
por: Nagaraj, Sriram, et al.
Publicado: (2024)
por: Nagaraj, Sriram, et al.
Publicado: (2024)
Nonlocal Neural Tangent Kernels via Parameter-Space Interactions
por: Nagaraj, Sriram, et al.
Publicado: (2025)
por: Nagaraj, Sriram, et al.
Publicado: (2025)
Marrying Compressed Sensing and Deep Signal Separation
por: Hickok, Truman, et al.
Publicado: (2024)
por: Hickok, Truman, et al.
Publicado: (2024)
Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
por: Lu, Zhaosong, et al.
Publicado: (2024)
por: Lu, Zhaosong, et al.
Publicado: (2024)
A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition
por: Lu, Zhaosong, et al.
Publicado: (2025)
por: Lu, Zhaosong, et al.
Publicado: (2025)
A first-order augmented Lagrangian method for constrained minimax optimization
por: Lu, Zhaosong, et al.
Publicado: (2023)
por: Lu, Zhaosong, et al.
Publicado: (2023)
First-order penalty methods for bilevel optimization
por: Lu, Zhaosong, et al.
Publicado: (2023)
por: Lu, Zhaosong, et al.
Publicado: (2023)
Solving bilevel optimization via sequential minimax optimization
por: Lu, Zhaosong, et al.
Publicado: (2025)
por: Lu, Zhaosong, et al.
Publicado: (2025)
A first-order method for nonconvex-strongly-concave constrained minimax optimization
por: Lu, Zhaosong, et al.
Publicado: (2025)
por: Lu, Zhaosong, et al.
Publicado: (2025)
Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications
por: Lee, Youngkyu, et al.
Publicado: (2024)
por: Lee, Youngkyu, et al.
Publicado: (2024)
Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies
por: Kopaničáková, Alena, et al.
Publicado: (2023)
por: Kopaničáková, Alena, et al.
Publicado: (2023)
Optimization over the intersection of manifolds
por: Yang, Yan, et al.
Publicado: (2026)
por: Yang, Yan, et al.
Publicado: (2026)
An accelerated primal-dual flow for linearly constrained multiobjective optimization
por: Luo, Hao, et al.
Publicado: (2025)
por: Luo, Hao, et al.
Publicado: (2025)
Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming
por: Wright, Stephen J.
Publicado: (2001)
por: Wright, Stephen J.
Publicado: (2001)
A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
por: Aguirre, Jacob, et al.
Publicado: (2025)
por: Aguirre, Jacob, et al.
Publicado: (2025)
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration
por: Wu, Zhongming, et al.
Publicado: (2024)
por: Wu, Zhongming, et al.
Publicado: (2024)
Regularized Barzilai-Borwein method
por: An, Congpei, et al.
Publicado: (2022)
por: An, Congpei, et al.
Publicado: (2022)
Proximal Nonlinear Conjugate Gradient Methods for Composite Optimization
por: Hamana, Shodai, et al.
Publicado: (2026)
por: Hamana, Shodai, et al.
Publicado: (2026)
New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications
por: Wang, Xuejie, et al.
Publicado: (2023)
por: Wang, Xuejie, et al.
Publicado: (2023)
Tight Error Bounds for the Sign-Constrained Stiefel Manifold
por: Chen, Xiaojun, et al.
Publicado: (2022)
por: Chen, Xiaojun, et al.
Publicado: (2022)
A novel numerical method tailored for unconstrained optimization problems
por: Li, Lin, et al.
Publicado: (2025)
por: Li, Lin, et al.
Publicado: (2025)
Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science
por: Langlois, Gabriel P., et al.
Publicado: (2024)
por: Langlois, Gabriel P., et al.
Publicado: (2024)
Yau's Affine Normal Descent: Algorithmic Framework and Convergence Analysis
por: Niu, Yi-Shuai, et al.
Publicado: (2026)
por: Niu, Yi-Shuai, et al.
Publicado: (2026)
A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization
por: He, Chuan, et al.
Publicado: (2023)
por: He, Chuan, et al.
Publicado: (2023)
A fixed-time stable dynamical model for solving EVLCPs
por: Wei, Yufei, et al.
Publicado: (2025)
por: Wei, Yufei, et al.
Publicado: (2025)
AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
por: Krejić, Nataša, et al.
Publicado: (2025)
por: Krejić, Nataša, et al.
Publicado: (2025)
An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
por: Curtis, Frank E., et al.
Publicado: (2025)
por: Curtis, Frank E., et al.
Publicado: (2025)
Privacy-Preserving Black-Box Optimization (PBBO): Theory and the Model-Based Algorithm DFOp
por: Xie, Pengcheng
Publicado: (2025)
por: Xie, Pengcheng
Publicado: (2025)
A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
por: Monteiro, Renato D. C., et al.
Publicado: (2024)
por: Monteiro, Renato D. C., et al.
Publicado: (2024)
On the Shape of the Symmetric Solution Set of a Linear Complementarity Problem with Interval Data
por: Schäfer, Uwe
Publicado: (2025)
por: Schäfer, Uwe
Publicado: (2025)
Time-Varying Semidefinite Programming: Path Following a Burer-Monteiro Factorization
por: Bellon, Antonio, et al.
Publicado: (2022)
por: Bellon, Antonio, et al.
Publicado: (2022)
Approximating the signature of Brownian motion for high order SDE simulation
por: Foster, James
Publicado: (2024)
por: Foster, James
Publicado: (2024)
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations
por: Phillips, Dominic, et al.
Publicado: (2023)
por: Phillips, Dominic, et al.
Publicado: (2023)
Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs
por: Wright, Stephen J.
Publicado: (2000)
por: Wright, Stephen J.
Publicado: (2000)
SVD-Preconditioned Gradient Descent Method for Solving Nonlinear Least Squares Problems
por: Chang, Zhipeng, et al.
Publicado: (2026)
por: Chang, Zhipeng, et al.
Publicado: (2026)
Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
por: Fatkhullin, Ilyas, et al.
Publicado: (2025)
por: Fatkhullin, Ilyas, et al.
Publicado: (2025)
A domain decomposition method for stochastic evolution equations
por: Buckwar, Evelyn, et al.
Publicado: (2024)
por: Buckwar, Evelyn, et al.
Publicado: (2024)
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
por: Lin, Zhenwei, et al.
Publicado: (2022)
por: Lin, Zhenwei, et al.
Publicado: (2022)
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
por: Bao, Chenglong, et al.
Publicado: (2024)
por: Bao, Chenglong, et al.
Publicado: (2024)
Projected gradient descent accumulates at Bouligand stationary points
por: Olikier, Guillaume, et al.
Publicado: (2024)
por: Olikier, Guillaume, et al.
Publicado: (2024)
Ejemplares similares
-
Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
por: Nagaraj, Sriram, et al.
Publicado: (2024) -
Nonlocal Neural Tangent Kernels via Parameter-Space Interactions
por: Nagaraj, Sriram, et al.
Publicado: (2025) -
Marrying Compressed Sensing and Deep Signal Separation
por: Hickok, Truman, et al.
Publicado: (2024) -
Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
por: Lu, Zhaosong, et al.
Publicado: (2024) -
A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition
por: Lu, Zhaosong, et al.
Publicado: (2025)