Konstantinos Spiliopoulos

According to our database, Konstantinos Spiliopoulos authored at least 32 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks.

Samuel Chun-Hei Lam, Justin A. Sirignano, Konstantinos Spiliopoulos

CoRR, January, 2025

2024

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

Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk

CoRR, 2024

2023

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

Justin A. Sirignano, Jonathan F. MacArt, Konstantinos Spiliopoulos

J. Comput. Phys., May, 2023

Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences.

Samuel Chun-Hei Lam, Justin A. Sirignano, Konstantinos Spiliopoulos

CoRR, 2023

2022

Mean Field Limits of Particle-Based Stochastic Reaction-Diffusion Models.

Samuel A. Isaacson, Jingwei Ma, Konstantinos Spiliopoulos

SIAM J. Math. Anal., 2022

Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics.

Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos

Stat. Comput., 2022

Mean Field Analysis of Deep Neural Networks.

Justin A. Sirignano, Konstantinos Spiliopoulos

Math. Oper. Res., 2022

Normalization effects on deep neural networks.

Jiahui Yu, Konstantinos Spiliopoulos

CoRR, 2022

2021

How Reaction-Diffusion PDEs Approximate the Large-Population Limit of Stochastic Particle Models.

Samuel A. Isaacson, Jingwei Ma, Konstantinos Spiliopoulos

SIAM J. Appl. Math., 2021

Discrete-Time Inference for Slow-Fast Systems Driven by Fractional Brownian Motion.

Solesne Bourguin, Siragan Gailus, Konstantinos Spiliopoulos

Multiscale Model. Simul., 2021

2020

Mean Field Analysis of Neural Networks: A Law of Large Numbers.

Justin A. Sirignano, Konstantinos Spiliopoulos

SIAM J. Appl. Math., 2020

Importance Sampling for Slow-Fast Diffusions Based on Moderate Deviations.

Konstantinos Spiliopoulos, Matthew R. Morse

Multiscale Model. Simul., 2020

Information Geometry for Approximate Bayesian Computation.

Konstantinos Spiliopoulos

SIAM/ASA J. Uncertain. Quantification, 2020

Selection of Quasi-stationary States in the Stochastically Forced Navier-Stokes Equation on the Torus.

Margaret Beck, Eric Cooper, Gabriel J. Lord, Konstantinos Spiliopoulos

J. Nonlinear Sci., 2020

Normalization effects on shallow neural networks and related asymptotic expansions.

Jiahui Yu, Konstantinos Spiliopoulos

CoRR, 2020

2019

Asymptotics of Reinforcement Learning with Neural Networks.

Justin A. Sirignano, Konstantinos Spiliopoulos

CoRR, 2019

Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum.

Justin A. Sirignano, Konstantinos Spiliopoulos

CoRR, 2019

2018

Analysis of Multiscale Integrators for Multiple Attractors and Irreversible Langevin Samplers.

Jianfeng Lu, Konstantinos Spiliopoulos

Multiscale Model. Simul., 2018

Discrete-Time Statistical Inference for Multiscale Diffusions.

Siragan Gailus, Konstantinos Spiliopoulos

Multiscale Model. Simul., 2018

DGM: A deep learning algorithm for solving partial differential equations.

Justin A. Sirignano, Konstantinos Spiliopoulos

J. Comput. Phys., 2018

2017

Stochastic Gradient Descent in Continuous Time.

Justin A. Sirignano, Konstantinos Spiliopoulos

SIAM J. Financial Math., 2017

Dimension Reduction in Statistical Estimation of Partially Observed Multiscale Processes.

Andrew Papanicolaou, Konstantinos Spiliopoulos

SIAM/ASA J. Uncertain. Quantification, 2017

Moderate deviations for systems of slow-fast diffusions.

Matthew R. Morse, Konstantinos Spiliopoulos

Asymptot. Anal., 2017

2015

Default Clustering in Large Pools: Large Deviations.

Konstantinos Spiliopoulos, Richard B. Sowers

SIAM J. Financial Math., 2015

Rare Event Simulation for Multiscale Diffusions in Random Environments.

Konstantinos Spiliopoulos

Multiscale Model. Simul., 2015

Nonasymptotic performance analysis of importance sampling schemes for small noise diffusions.

Konstantinos Spiliopoulos

J. Appl. Probab., 2015

2014

Filtering the Maximum Likelihood for Multiscale Problems.

Andrew Papanicolaou, Konstantinos Spiliopoulos

Multiscale Model. Simul., 2014

Scaling limits and exit law for multiscale diffusions.

Sergio Angel Almada, Konstantinos Spiliopoulos

Asymptot. Anal., 2014

Rare event simulation in the neighborhood of a rest point.

Paul Dupuis, Konstantinos Spiliopoulos

Proceedings of the 2014 Winter Simulation Conference, 2014

2012

Importance Sampling for Multiscale Diffusions.

Paul Dupuis, Konstantinos Spiliopoulos, Hui Wang

Multiscale Model. Simul., 2012

2011

Rare event simulation for rough energy landscapes.

Paul Dupuis, Konstantinos Spiliopoulos, Hui Wang

Proceedings of the Winter Simulation Conference 2011, 2011

2008

Reaction-diffusion equations with nonlinear boundary conditions in narrow domains.

Mark Freidlin, Konstantinos Spiliopoulos

Asymptot. Anal., 2008