Konstantinos Spiliopoulos

Konstantinos Spiliopoulos

Boston University

H-index: 20

North America-United States

About Konstantinos Spiliopoulos

Konstantinos Spiliopoulos, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at Boston University, specializes in the field of probability, stochastic processes, applied mathematics, statistics, statistical learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Uniform in time bounds for a stochastic hybrid system with fast periodic sampling and small white-noise

Stochastic gradient descent-based inference for dynamic network models with attractors

Fluctuation analysis for particle-based stochastic reaction–diffusion models

PDE-constrained models with neural network terms: Optimization and global convergence

Mean field limits of particle-based stochastic reaction-drift-diffusion models

Quantitative fluctuation analysis of multiscale diffusion systems via Malliavin calculus

Rate of homogenization for fully-coupled McKean–Vlasov SDEs

Kernel limit of recurrent neural networks trained on ergodic data sequences

Konstantinos Spiliopoulos Information

University

Position

___

Citations(all)

3673

Citations(since 2020)

3172

Cited By

1550

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

44

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Konstantinos Spiliopoulos Skills & Research Interests

probability

stochastic processes

applied mathematics

statistics

statistical learning

Top articles of Konstantinos Spiliopoulos

Title

Journal

Author(s)

Publication Date

Uniform in time bounds for a stochastic hybrid system with fast periodic sampling and small white-noise

arXiv preprint arXiv:2404.18242

Shivam Singh Dhama

Konstantinos Spiliopoulos

2024/4/28

Stochastic gradient descent-based inference for dynamic network models with attractors

arXiv preprint arXiv:2403.07124

Hancong Pan

Xiaojing Zhu

Cantay Caliskan

Dino P Christenson

Konstantinos Spiliopoulos

...

2024/3/11

Fluctuation analysis for particle-based stochastic reaction–diffusion models

Stochastic Processes and their Applications

Max Heldman

SA Isaacson

Jingwei Ma

Konstantinos Spiliopoulos

2024/1/1

PDE-constrained models with neural network terms: Optimization and global convergence

Journal of Computational Physics

Justin Sirignano

Jonathan MacArt

Konstantinos Spiliopoulos

2023/5/15

Mean field limits of particle-based stochastic reaction-drift-diffusion models

SIAM Journal on Mathematical Analysis

Samuel A Isaacson

Jingwei Ma

Konstantinos Spiliopoulos

2022

Quantitative fluctuation analysis of multiscale diffusion systems via Malliavin calculus

arXiv preprint arXiv:2301.09005

Solesne Bourguin

Konstantinos Spiliopoulos

2023/1/21

Rate of homogenization for fully-coupled McKean–Vlasov SDEs

Stochastics and Dynamics

Zachary William Bezemek

Konstantinos Spiliopoulos

2023/3/21

Kernel limit of recurrent neural networks trained on ergodic data sequences

arXiv preprint arXiv:2308.14555

Samuel Chun-Hei Lam

Justin Sirignano

Konstantinos Spiliopoulos

2023/8/28

Moderate deviation principle for multiscale systems driven by fractional Brownian motion

Journal of Theoretical Probability

Solesne Bourguin

Thanh Dang

Konstantinos Spiliopoulos

2023/1/16

Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers

arXiv preprint arXiv:2302.07227

Benjamin J Zhang

Youssef M Marzouk

Konstantinos Spiliopoulos

2023/2/14

Moderate deviations for fully coupled multiscale weakly interacting particle systems

Stochastics and Partial Differential Equations: Analysis and Computations

ZW Bezemek

Konstantinos Spiliopoulos

2023/7/10

Large deviations for interacting multiscale particle systems

Stochastic Processes and their Applications

ZW Bezemek

Konstantinos Spiliopoulos

2023/1/1

Transport map unadjusted Langevin algorithms

arXiv e-prints

Benjamin J Zhang

Youssef M Marzouk

Konstantinos Spiliopoulos

2023/2

Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model

Journal of the Royal Statistical Society Series A: Statistics in Society

Xiaojing Zhu

Cantay Caliskan

Dino P Christenson

Konstantinos Spiliopoulos

Dylan Walker

...

2023/7

Moderate deviations for systems of slow–fast stochastic reaction–diffusion equations

Stochastics and Partial Differential Equations: Analysis and Computations

Ioannis Gasteratos

Michael Salins

Konstantinos Spiliopoulos

2023/6

Importance sampling for stochastic reaction–diffusion equations in the moderate deviation regime

Stochastics and Partial Differential Equations: Analysis and Computations

Ioannis Gasteratos

Michael Salins

Konstantinos Spiliopoulos

2023/12/8

On the large-time behaviour of affine Volterra processes

arXiv preprint arXiv:2204.05270

Antoine Jacquier

Alexandre Pannier

Konstantinos Spiliopoulos

2022/4/11

Online adjoint methods for optimization of PDEs

Applied Mathematics & Optimization

Justin Sirignano

Konstantinos Spiliopoulos

2022/4

Asymptotics of reinforcement learning with neural networks

Stochastic Systems

Justin Sirignano

Konstantinos Spiliopoulos

2022/3

Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics

Statistics and Computing

Benjamin J Zhang

Youssef M Marzouk

Konstantinos Spiliopoulos

2022/10

See List of Professors in Konstantinos Spiliopoulos University(Boston University)

Co-Authors

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