Robuta

Denoising diffusion models for discrete data using the time reversal of continuous time markov chains.

In this paper, we introduce a new dynamic model for time series based on the Chen distribution, which is useful for modeling asymmetric, positive, continuous,...

Abstract page for arXiv paper 2403.13605: Optimal control of continuous-time symmetric systems with unknown dynamics and noisy measurements

Abstract page for arXiv paper 1402.6106: Impulsive control for continuous-time Markov Decision Processes

We develop an approach to learn an interpretable semi-parametric model of a latent continuous-time stochastic dynamical system, assuming noisy high-dimensional...

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Abstract page for arXiv paper 2411.09837: Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered...

We develop an approach to learn an interpretable semi-parametric model of a latent continuous-time stochastic dynamical system, assuming noisy high-dimensional...

A tutorial explaining some key intuitions behind continuous time Markov chains for machine learners interested in discrete diffusion models: alternative...

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The quantum walk dynamics obey the laws of quantum mechanics with an extra locality constraint, which demands that the evolution operator is local in

1) on Mondays 2) in the mornings 3) never 4) at the moment 5) usually 6) right now 7) now 8) every year 9) this year 10) hardly ever 11) once a week 12) today