Daniele Venturi

According to our database, Daniele Venturi authored at least 27 papers between 2012 and 2024.

Collaborative distances:

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

2024

Tensor approximation of functional differential equations.

Abram Rodgers, Daniele Venturi

CoRR, 2024

2023

Implicit Integration of Nonlinear Evolution Equations on Tensor Manifolds.

Abram Rodgers, Daniele Venturi

J. Sci. Comput., November, 2023

Tensor rank reduction via coordinate flows.

Alec Dektor, Daniele Venturi

J. Comput. Phys., October, 2023

Coordinate-adaptive integration of PDEs on tensor manifolds.

Alec Dektor, Daniele Venturi

CoRR, 2023

2022

Adaptive Integration of Nonlinear Evolution Equations on Tensor Manifolds.

Abram Rodgers, Alec Dektor, Daniele Venturi

J. Sci. Comput., 2022

The Mori-Zwanzig formulation of deep learning.

Daniele Venturi, Xiantao Li

CoRR, 2022

Implicit step-truncation integration of nonlinear PDEs on low-rank tensor manifolds.

Abram Rodgers, Daniele Venturi

CoRR, 2022

2021

Rank-Adaptive Tensor Methods for High-Dimensional Nonlinear PDEs.

Alec Dektor, Abram Rodgers, Daniele Venturi

J. Sci. Comput., 2021

Dynamic tensor approximation of high-dimensional nonlinear PDEs.

Alec Dektor, Daniele Venturi

J. Comput. Phys., 2021

2020

Stability analysis of hierarchical tensor methods for time-dependent PDEs.

Abram Rodgers, Daniele Venturi

J. Comput. Phys., 2020

A new scalable algorithm for computational optimal control under uncertainty.

Panos Lambrianides, Qi Gong, Daniele Venturi

J. Comput. Phys., 2020

Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs.

Alec Dektor, Daniele Venturi

J. Comput. Phys., 2020

Tensor methods for the Boltzmann-BGK equation.

Arnout M. P. Boelens, Daniele Venturi, Daniel M. Tartakovsky

J. Comput. Phys., 2020

Step-truncation integrators for evolution equations on low-rank tensor manifolds.

Abram Rodgers, Daniele Venturi

CoRR, 2020

Improving neural network predictions of material properties with limited data using transfer learning.

Schuyler Krawczuk, Daniele Venturi

CoRR, 2020

Spectral methods for nonlinear functionals and functional differential equations.

Daniele Venturi, Alec Dektor

CoRR, 2020

2019

Generalized Langevin equations for systems with local interactions.

Yuanran Zhu, Daniele Venturi

CoRR, 2019

2018

Faber approximation of the Mori-Zwanzig equation.

Yuanran Zhu, Daniele Venturi

J. Comput. Phys., 2018

Data-driven closures for stochastic dynamical systems.

Catherine Brennan, Daniele Venturi

J. Comput. Phys., 2018

Parallel tensor methods for high-dimensional linear PDEs.

Arnout M. P. Boelens, Daniele Venturi, Daniel M. Tartakovsky

J. Comput. Phys., 2018

2017

Multi-fidelity Gaussian process regression for prediction of random fields.

Lucia Parussini, Daniele Venturi, Paris Perdikaris, George E. Karniadakis

J. Comput. Phys., 2017

2016

Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets.

Paris Perdikaris, Daniele Venturi, George E. Karniadakis

SIAM J. Sci. Comput., 2016

Numerical methods for high-dimensional probability density function equations.

Heyrim Cho, Daniele Venturi, George E. Karniadakis

J. Comput. Phys., 2016

2015

Algorithms for Propagating Uncertainty Across Heterogeneous Domains.

Heyrim Cho, Xiu Yang, Daniele Venturi, George E. Karniadakis

SIAM J. Sci. Comput., 2015

2013

Adaptive Discontinuous Galerkin Method for Response-Excitation PDF Equations.

Heyrim Cho, Daniele Venturi, George E. Karniadakis

SIAM J. Sci. Comput., 2013

Exact PDF equations and closure approximations for advective-reactive transport.

Daniele Venturi, Daniel M. Tartakovsky, Alexandre M. Tartakovsky, George E. Karniadakis

J. Comput. Phys., 2013

2012

New evolution equations for the joint response-excitation probability density function of stochastic solutions to first-order nonlinear PDEs.

Daniele Venturi, George E. Karniadakis

J. Comput. Phys., 2012