Robuta

https://arxiv.org/abs/1009.5966 [1009.5966] Path Integral Methods for Stochastic Differential Equations Abstract page for arXiv paper 1009.5966: Path Integral Methods for Stochastic Differential Equations path integralstochastic differential10095966methods https://openreview.net/forum?id=eHIc7SL0sr&referrer=%5Bthe%20profile%20of%20XIONGREN%20CHEN%5D(%2Fprofile%3Fid%3D~XIONGREN_CHEN1) Fisher Divergence for Attribution through Stochastic Differential Equations | OpenReview Deep neural networks achieve remarkable performance but often lack interpretability, raising concerns in critical applications. Feature attribution methods,... stochastic differentialfisherdivergenceattributionequations https://www.osti.gov/pages/biblio/2526584-computing-nonequilibrium-responses-score-shifted-stochastic-differential-equations Computing Nonequilibrium Responses with Score-Shifted Stochastic Differential Equations (Journal... The U.S. Department of Energy's Office of Scientific and Technical Information stochastic differentialcomputingnonequilibriumresponsesscore https://www.kth.se/math/kalender/andi-bodnariu-stochastic-differential-games-and-time-inconsistent-problems-1.1318406?date=2024-03-13&orgdate=2024-02-13&length=1&orglength=0 Andi Bodnariu: Stochastic differential games and time-inconsistent problems. | KTH stochastic differentialandigamestimeinconsistent https://jmlr.org/papers/v21/19-339.html Posterior sampling strategies based on discretized stochastic differential equations for machine... based onstochastic differentialposteriorsamplingstrategies https://deepai.org/publication/parametric-estimation-of-stochastic-differential-equations-via-online-gradient-descent Parametric estimation of stochastic differential equations via online gradient descent | DeepAI Oct 17, 2022 - 10/17/22 - We propose an online parametric estimation method of stochastic differential equations with discrete observations and misspecified... parametric estimationstochastic differentialgradient descent https://deepai.org/publication/kinematics-aware-trajectory-generation-and-prediction-with-latent-stochastic-differential-modeling Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling... Sep 17, 2023 - 09/17/23 - Trajectory generation and trajectory prediction are two critical tasks for autonomous vehicles, which generate various trajectorie... stochastic differentialkinematicsawaretrajectorygeneration https://arxiv.org/abs/2508.20883 [2508.20883] Lattice Random Walk Discretisations of Stochastic Differential Equations Abstract page for arXiv paper 2508.20883: Lattice Random Walk Discretisations of Stochastic Differential Equations random walkstochastic differential250820883lattice https://deepai.org/publication/non-parametric-learning-of-stochastic-differential-equations-with-fast-rates-of-convergence Non-Parametric Learning of Stochastic Differential Equations with Fast Rates of Convergence | DeepAI May 24, 2023 - 05/24/23 - We propose a novel non-parametric learning paradigm for the identification of drift and diffusion coefficients of non-linear stoch... non parametricstochastic differential https://arxiv.org/abs/1101.2697 [1101.2697] On Free Stochastic Differential Equations Abstract page for arXiv paper 1101.2697: On Free Stochastic Differential Equations stochastic differential11012697freeequations https://arxiv.org/abs/2308.12316 [2308.12316] Graph Neural Stochastic Differential Equations Abstract page for arXiv paper 2308.12316: Graph Neural Stochastic Differential Equations stochastic differential230812316graphneural https://www.easychair.org/publications/keyword/H7ch Keyword: stochastic differential equations stochastic differentialkeywordequations https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2019/bayesian-parameter-inference-stochastic-differential-equation-mixed-effects-models Bayesian Parameter Inference for Stochastic Differential Equation Mixed Effects Models stochastic differentialbayesianparameterinferenceequation https://www.imperial.ac.uk/events/146629/patrick-kidger-on-neural-stochastic-differential-equations/ Patrick Kidger: On Neural (Stochastic) Differential Equations | Events | Imperial College London Patrick Kidger from Oxford will present his work at the intersection between differential equations and deep learning. stochastic differentialimperial collegepatrickneural https://arxiv.org/abs/cs/0501052 [cs/0501052] Stochastic Differential Games in a Non-Markovian Setting Abstract page for arXiv paper cs/0501052: Stochastic Differential Games in a Non-Markovian Setting stochastic differentialcsgamesnonmarkovian https://arxiv.org/abs/1203.5809 [1203.5809] Numerical approximations of stochastic differential equations with non-globally... Abstract page for arXiv paper 1203.5809: Numerical approximations of stochastic differential equations with non-globally Lipschitz continuous coefficients stochastic differential12035809numericalapproximations https://www.usgs.gov/publications/reflected-stochastic-differential-equation-models-constrained-animal-movement Reflected stochastic differential equation models for constrained animal movement | U.S. Geological... Movement for many animal species is constrained in space by barriers such as rivers, shorelines, or impassable cliffs. We develop an approach for modeling... stochastic differential https://www.unsw.edu.au/news/2008/02/seminar-on-stochastic-differential-equations-and-applications Seminar on Stochastic Differential Equations and Applications stochastic differentialseminarequationsapplications https://openreview.net/forum?id=ytz2naZoDB Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with... Considering generating samples with high rewards, we focus on optimizing deep neural networks parameterized stochastic differential equations (SDEs), the... policy gradientsstochastic differentialstabilizingequationsvia https://openreview.net/forum?id=Lq316r4Lx9 Paper review: Score-Based Generative Modeling through Stochastic Differential Equations | OpenReview This memoir focuses on generative modeling, and more precisely score based generative modeling. While other downstream tasks such as classification or even... paper reviewgenerative modelingstochastic differentialscorebased https://openreview.net/forum?id=2iGiSHmeAN&referrer=%5Bthe%20profile%20of%20Jayadeva%20Jayadeva%5D(%2Fprofile%3Fid%3D~Jayadeva_Jayadeva1) BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian... Neural networks (NNs) that exploit strong inductive biases based on physical laws and symmetries have shown remarkable success in learning the dynamics of... stochastic differentialfor learningmomentumconservinggraph https://arxiv.org/abs/2105.03013 [2105.03013] A Sobolev space theory for the Stochastic Partial Differential Equations with... Abstract page for arXiv paper 2105.03013: A Sobolev space theory for the Stochastic Partial Differential Equations with space-time non-local operators https://arxiv.org/abs/0804.1304 [0804.1304] Weak approximation of stochastic partial differential equations: the non linear case Abstract page for arXiv paper 0804.1304: Weak approximation of stochastic partial differential equations: the non linear case https://deepai.org/publication/equivalence-of-pth-moment-stability-between-stochastic-differential-delay-equations-and-their-numerical-methods Equivalence of pth moment stability between stochastic differential delay equations and their... Jul 28, 2019 - 07/28/19 - In this paper, a general theorem on the equivalence of pth moment stability between stochastic differential delay equations (SDDEs... https://arxiv.org/abs/2604.16645 [2604.16645] Strang splitting estimator for nonlinear multivariate stochastic differential... Abstract page for arXiv paper 2604.16645: Strang splitting estimator for nonlinear multivariate stochastic differential equations with Pearson-type... strang splitting2604estimatornonlinearmultivariate https://openreview.net/forum?id=J2wI2rCG2u Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators... Optimizing neural networks with loss that contain high-dimensional and high-order differential operators is expensive to evaluate with back-propagation due to... stochastictaylorderivativeestimatorefficient https://www.preprints.org/manuscript/202505.0659 About Some Unsolved Problems in the Stability Theory of Stochastic Differential and Difference... This paper continues a series of papers devoted to unsolved problems in the theory of stability and optimal control for stochastic systems. A delay... unsolved problems in https://dergipark.org.tr/en/pub/mmnsa/article/1416148 An approach to stochastic differential equations for long-term forecasting in the presence of... Jun 30, 2024 - Mathematical Modelling and Numerical Simulation with Applications | Volume: 4 Issue: 2 https://www.iit.edu/events/learning-solution-stochastic-partial-differential-equations-continuation Learning Solution of Stochastic Partial Differential Equations (A Continuation) | Illinois... learning solutionpartial differentialstochasticequationscontinuation https://www.mapleprimes.com/questions/220378-How-Do-I-Plot-The-Numercial-Solutionf How do I plot the numercial solutionf for a 3D stochastic differential equation - MaplePrimes how do i https://jmlr.org/papers/v24/22-0582.html Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential... infinite dimensionaloptimizationbayesiannonparametriclearning https://www.birmingham.ac.uk/schools/mathematics/news-and-events/events/conferences/2023/pdes-stochastic-processes Interplay of partial differential equations and stochastic processes, March 2023 Many complex systems in natural and applied sciences are often described by partial differential equations and/or stochastic processes. In this workshop, we... partial differentialstochastic processesinterplayequationsmarch https://arxiv.org/abs/math/0409246 [math/0409246] First exit times of solutions of non-linear stochastic differential equations driven... Abstract page for arXiv paper math/0409246: First exit times of solutions of non-linear stochastic differential equations driven by symmetric Levy processes... https://www.scirp.org/reference/ReferencesPapers?ReferenceID=1822983 Hu, S., Huang, C. and Wu, F. (2008) Stochastic Differential Equations. Science Press, Beijing. -... Hu, S., Huang, C. and Wu, F. (2008) Stochastic Differential Equations. Science Press, Beijing. https://www.kth.se/math/kalender/mikko-parviainen-stochastic-tug-of-war-type-games-and-partial-differential-equations-1.1195733?date=2022-10-04&orgdate=2022-05-04&length=1&orglength=0 Mikko Parviainen: Stochastic tug-of-war type games and partial differential equations | KTH tug of war https://arxiv.org/abs/1606.04722 [1606.04722] Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics Abstract page for arXiv paper 1606.04722: Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics https://openreview.net/forum?id=goEdyJ_nVQI On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) | OpenReview We study with theory and experiments (using a new method SVAG) the validity of the popular SDE Approximation to SGD as well as the Linear Scaling Rule. on the https://openreview.net/forum?id=_8mS2NE-HXN SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS |... We propose a new class of neural control polices for stabilizing stochastic delay-differential equations with safety guarantee, named as SYNC and including... syncsafetyawareneuralcontrol https://www.scirp.org/journal/paperinformation?paperid=125927 A Study on Stochastic Differential Equation Using Fractional Power of Operator in the Semigroup... Explore the unpredictable behavior of continuous systems with stochastic differential equations (SDE). Discover how SDE combines differential equations,...