Copertina

Set Invariance with Probability One for Controlled Diffusion: Score-based Approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Wenqing, Teter, Alexis M. H., Arcak, Murat, Halder, Abhishek
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control Machine Learning Systems and Control Probability Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
di: Teter, Alexis M. H., et al.
Pubblicazione: (2025)

On the Hopf-Cole Transform for Control-affine Schrödinger Bridge
di: Teter, Alexis, et al.
Pubblicazione: (2025)

Schrödinger Bridge with Quadratic State Cost is Exactly Solvable
di: Teter, Alexis M. H., et al.
Pubblicazione: (2024)

Weyl Calculus and Exactly Solvable Schrödinger Bridges with Quadratic State Cost
di: Teter, Alexis M. H., et al.
Pubblicazione: (2024)

Solution of the Probabilistic Lambert Problem: Connections with Optimal Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs
di: Teter, Alexis M. H., et al.
Pubblicazione: (2024)

Schrödinger Bridge Over A Compact Connected Lie Group
di: Mahmood, Hamza, et al.
Pubblicazione: (2026)

Solution of the Probabilistic Lambert's Problem: Optimal Transport Approach
di: Teter, Alexis M. H., et al.
Pubblicazione: (2024)

Control-affine Schrödinger Bridge and Generalized Bohm Potential
di: Teter, Alexis M. H., et al.
Pubblicazione: (2025)

Derivative Estimation from Coarse, Irregular, Noisy Samples: An MLE-Spline Approach
di: Avrachenkov, Konstantin E., et al.
Pubblicazione: (2025)

Online Resource Allocation with Average Budget Constraints
di: Ao, Ruicheng, et al.
Pubblicazione: (2024)

Proximal optimal transport divergences
di: Baptista, Ricardo, et al.
Pubblicazione: (2025)

Decision-Focused Bias Correction for Fluid Approximation
di: Er, Can, et al.
Pubblicazione: (2025)

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
di: Garcia, Joaquim Dias, et al.
Pubblicazione: (2021)

Fixed Horizon Linear Quadratic Covariance Steering in Continuous Time with Hilbert-Schmidt Terminal Cost
di: Sial, Tushar, et al.
Pubblicazione: (2025)

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why
di: Sial, Tushar, et al.
Pubblicazione: (2026)

The Ground Cost for Optimal Transport of Angular Velocity
di: Elamvazhuthi, Karthik, et al.
Pubblicazione: (2025)

Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
di: Yang, Shangda, et al.
Pubblicazione: (2024)

Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
di: Srikant, R.
Pubblicazione: (2024)

Causal Optimal Coupling for Gaussian Input-Output Distributional Data
di: Xu, Daran, et al.
Pubblicazione: (2026)

A Generalized Sinkhorn Algorithm for Mean-Field Schrödinger Bridge
di: Eldesoukey, Asmaa, et al.
Pubblicazione: (2026)

Forward Invariance in Neural Network Controlled Systems
di: Harapanahalli, Akash, et al.
Pubblicazione: (2023)

Efficient Online Learning in Interacting Particle Systems
di: Sharrock, Louis, et al.
Pubblicazione: (2026)

Evaluating the design space of diffusion-based generative models
di: Wang, Yuqing, et al.
Pubblicazione: (2024)

Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schrödinger Bridge Problem
di: Bondar, Georgiy A., et al.
Pubblicazione: (2026)

Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients
di: Bruno, Stefano, et al.
Pubblicazione: (2025)

Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
di: Elamvazhuthi, Karthik, et al.
Pubblicazione: (2025)

Optimal estimators of cross-partial derivatives and surrogates of functions
di: Lamboni, Matieyendou
Pubblicazione: (2024)

Causal Invariance Learning via Efficient Nonconvex Optimization
di: Wang, Zhenyu, et al.
Pubblicazione: (2024)

Exact Computation of LTI Reach Set from Integrator Reach Set with Bounded Input
di: Haddad, Shadi, et al.
Pubblicazione: (2023)

Solving Monotone Variational Inequalities with Best Response Dynamics
di: Chen, Yu-Wen, et al.
Pubblicazione: (2024)

Dynamical Measure Transport and Neural PDE Solvers for Sampling
di: Sun, Jingtong, et al.
Pubblicazione: (2024)

The Variational Approach in Filtering and Correlated Noise
di: Srinivasan, Sharan, et al.
Pubblicazione: (2026)

Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge
di: Bondar, Georgiy A., et al.
Pubblicazione: (2024)

Diffusion Policies for Generative Modeling of Spacecraft Trajectories
di: Briden, Julia, et al.
Pubblicazione: (2025)

A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
di: Luo, Yujia, et al.
Pubblicazione: (2026)

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
di: Dong, Shuyu, et al.
Pubblicazione: (2024)

Pathwise Relaxed Optimal Control of Rough Differential Equations
di: Chakraborty, Prakash, et al.
Pubblicazione: (2024)

Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
di: Taha, Feras Al, et al.
Pubblicazione: (2025)

On Exact Solutions to the Linear Bellman Equation
di: Ohlin, David, et al.
Pubblicazione: (2025)

PACSBO: Probably approximately correct safe Bayesian optimization
di: Tokmak, Abdullah, et al.
Pubblicazione: (2024)