Tootfinder

Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
Griffin Tabor, Tucker Hermans
https://arxiv.org/abs/2506.00589

Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
Many core problems in robotics can be framed as constrained optimization problems. Often on these problems, the robotic system has uncertainty, or it would be advantageous to identify multiple high quality feasible solutions. To enable this, we present two novel frameworks for applying principles of constrained optimization to the new variational inference algorithm Stein variational gradient descent. Our general framework supports multiple types of constrained optimizers and can handle arbitra…

This https://arxiv.org/abs/2502.16492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
We study stochastic gradient descent (SGD) with gradient clipping on convex functions under a generalized smoothness assumption called $(L_0,L_1)$-smoothness. Using gradient clipping, we establish a high probability convergence rate that matches the SGD rate in the $L$ smooth case up to polylogarithmic factors and additive terms. We also propose a variation of adaptive SGD with gradient clipping, which achieves the same guarantee. We perform empirical experiments to examine our theory and algor…

This https://arxiv.org/abs/2505.13929 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Numerical analysis for the regularised total variation flow
We perform the numerical analysis of the regularised total variation flow using the gradient discretisation method (GDM). GDM is a unified convergence analysis framework that covers conforming and non-conforming numerical methods, for instance, conforming and non-conforming finite element, two-point flux approximation, etc.. In this paper, a fully discretised implicit scheme of the model is proposed, the existence and uniqueness of the solution to the scheme is proved, the stability and consist…

This https://arxiv.org/abs/2505.22398 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Numerical Optimization Strategies for the Variational Hamiltonian Ansatz in Noisy Quantum Environments
We conduct a benchmark of eight optimization algorithms for variational quantum chemistry using the tVHA, evaluating performance on $H_2$, $H_4$, and $LiH$ (in both full and active spaces) under noiseless and sampling noise conditions. Sampling noise fundamentally alters optimizer behavior, with gradient-based methods performing best in ideal conditions, while population-based algorithms, such as CMA-ES, show greater resilience under noise. Hartree-Fock initialization reduces the number of func…

Effective flows across diffusio-phoretic membranes
Kevin Wittkowski, Pier Giuseppe Ledda, Edoardo Carlo Giordano, Fran\c{c}ois Gallaire, Giuseppe Antonio Zampogna
https://arxiv.org/abs/2505.22197

Effective flows across diffusio-phoretic membranes
Flows enabled by phoretic mechanisms are of significant interest in several biological and biomedical processes, such as bacterial motion and targeted drug delivery. Here, we develop a homogenization-based macroscopic boundary condition which describes the effective flow across a diffusiophoretic microstructured membrane, where the interaction between the membrane walls and the solute particles is modeled via a potential-approach. We consider two cases where potential variations occur (i) at th…

Een zelfversterkend effect.
From: @…
https://social.overheid.nl/@knmi/114586081449197034