Justin Sirignano
University of Illinois at Urbana-Champaign
H-index: 18
North America-United States
Top articles of Justin Sirignano
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Adjoint-Trained Deep-Learning Closures of the Navier–Stokes Equations for 2D Nonequilibrium Flows | Ashish S Nair Den Waidmann Justin Sirignano Narendra Singh Marco Panesi | 2024 | |
Adjoint Optimization of the BGK Equation with an Embedded Neural Network for Reduced-Order Modeling of Hypersonic Flows | Nicholas Daultry Ball Marco Panesi Jonathan F MacArt Justin Sirignano | 2024 | |
Continuous‐time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations | Mathematical Finance | Ziheng Wang Justin Sirignano | 2024/4 |
Weak Convergence Analysis of Online Neural Actor-Critic Algorithms | arXiv preprint arXiv:2403.16825 | Samuel Chun-Hei Lam Justin Sirignano Ziheng Wang | 2024/3/25 |
Large Eddy Simulation of Airfoil Flows Using Adjoint-Trained Deep Learning Closure Models | Tom Hickling Justin Sirignano Jonathan F MacArt | 2024 | |
Physics-constrained deep learning-based model for non-equilibrium flows | Edoardo Monti Narendra Singh Justin Sirignano Jonathan F MacArt Marco Panesi | 2024 | |
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS | arXiv preprint arXiv:2303.02338 | Justin Sirignano Jonathan F MacArt | 2023/3/4 |
Entropy-stable Deep Learning for Navier–Stokes Predictions of Transitional-regime Flows | Ashish S Nair Justin Sirignano Marco Panesi Jonathan F MacArt | 2023 | |
Deep learning closure models for large-eddy simulation of flows around bluff bodies | Journal of Fluid Mechanics | Justin Sirignano Jonathan F MacArt | 2023/7 |
Deep Learning Closure of the Navier–Stokes Equations for Transition-Continuum Flows | AIAA journal | Ashish S Nair Justin Sirignano Marco Panesi Jonathan F MacArt | 2023/12 |
Neural Q-learning for solving PDEs | Journal of Machine Learning Research | Samuel N Cohen Deqing Jiang Justin Sirignano | 2023/6/19 |
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 |
PDE-constrained models with neural network terms: Optimization and global convergence | Journal of Computational Physics | Justin Sirignano Jonathan MacArt Konstantinos Spiliopoulos | 2023/5/15 |
Global Convergence of Deep Galerkin and PINNs Methods for Solving Partial Differential Equations | arXiv preprint arXiv:2305.06000 | Deqing Jiang Justin Sirignano Samuel N Cohen | 2023/5/10 |
Deep Learning Closure of the Navier--Stokes Equations for Transitional Flows | Jonathan F MacArt Justin Sirignano Marco Panesi | 2022 | |
A forward propagation algorithm for online optimization of nonlinear stochastic differential equations | arXiv preprint arXiv:2207.04496 | Ziheng Wang Justin Sirignano | 2022/7/10 |
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 |
Global convergence of the ode limit for online actor-critic algorithms in reinforcement learning | arXiv preprint arXiv:2108.08655 | Ziheng Wang Justin Sirignano | 2021/8/19 |
Deep learning for mortgage risk | Journal of Financial Econometrics | Apaar Sadhwani Kay Giesecke Justin Sirignano | 2021/6/1 |
