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Daniele Venturi 0002
Person information
- affiliation: University of California Santa Cruz, CA, USA
Other persons with the same name
- Daniele Venturi 0001
— Sapienza University of Rome, Italy (and 1 more)
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2020 – today
- 2024
- [i14]Abram Rodgers, Daniele Venturi:
Tensor approximation of functional differential equations. CoRR abs/2403.04946 (2024) - 2023
- [j19]Alec Dektor, Daniele Venturi
Tensor rank reduction via coordinate flows. J. Comput. Phys. 491: 112378 (2023) - [j18]Abram Rodgers, Daniele Venturi
Implicit Integration of Nonlinear Evolution Equations on Tensor Manifolds. J. Sci. Comput. 97(2): 33 (2023) - [i13]Alec Dektor, Daniele Venturi:
Coordinate-adaptive integration of PDEs on tensor manifolds. CoRR abs/2308.02659 (2023) - 2022
- [j17]Abram Rodgers, Alec Dektor, Daniele Venturi
Adaptive Integration of Nonlinear Evolution Equations on Tensor Manifolds. J. Sci. Comput. 92(2): 39 (2022) - [i12]Abram Rodgers, Daniele Venturi:
Implicit step-truncation integration of nonlinear PDEs on low-rank tensor manifolds. CoRR abs/2207.01962 (2022) - [i11]Alec Dektor, Daniele Venturi:
Tensor rank reduction via coordinate flows. CoRR abs/2207.11955 (2022) - [i10]Daniele Venturi, Xiantao Li:
The Mori-Zwanzig formulation of deep learning. CoRR abs/2209.05544 (2022) - 2021
- [j16]Alec Dektor, Daniele Venturi:
Dynamic tensor approximation of high-dimensional nonlinear PDEs. J. Comput. Phys. 437: 110295 (2021) - [j15]Alec Dektor, Abram Rodgers, Daniele Venturi
Rank-Adaptive Tensor Methods for High-Dimensional Nonlinear PDEs. J. Sci. Comput. 88(2): 36 (2021) - 2020
- [j14]Alec Dektor, Daniele Venturi:
Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs. J. Comput. Phys. 404 (2020) - [j13]Abram Rodgers, Daniele Venturi:
Stability analysis of hierarchical tensor methods for time-dependent PDEs. J. Comput. Phys. 409: 109341 (2020) - [j12]Panos Lambrianides, Qi Gong, Daniele Venturi:
A new scalable algorithm for computational optimal control under uncertainty. J. Comput. Phys. 420: 109710 (2020) - [j11]Arnout M. P. Boelens
Tensor methods for the Boltzmann-BGK equation. J. Comput. Phys. 421: 109744 (2020) - [i9]Daniele Venturi, Alec Dektor:
Spectral methods for nonlinear functionals and functional differential equations. CoRR abs/2003.14308 (2020) - [i8]Schuyler Krawczuk, Daniele Venturi:
Improving neural network predictions of material properties with limited data using transfer learning. CoRR abs/2006.16420 (2020) - [i7]Alec Dektor, Daniele Venturi:
Dynamic tensor approximation of high-dimensional nonlinear PDEs. CoRR abs/2007.09538 (2020) - [i6]Abram Rodgers, Daniele Venturi:
Step-truncation integrators for evolution equations on low-rank tensor manifolds. CoRR abs/2008.00155 (2020) - [i5]Alec Dektor, Abram Rodgers, Daniele Venturi:
Rank-adaptive tensor methods for high-dimensional nonlinear PDEs. CoRR abs/2012.05962 (2020)
2010 – 2019
- 2019
- [i4]Yuanran Zhu, Daniele Venturi:
Generalized Langevin equations for systems with local interactions. CoRR abs/1906.04918 (2019) - [i3]Alec Dektor, Daniele Venturi:
Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs. CoRR abs/1907.05924 (2019) - [i2]Abram Rodgers, Daniele Venturi:
Stability analysis of hierarchical tensor methods for time-dependent PDEs. CoRR abs/1908.09803 (2019) - [i1]Panos Lambrianides, Qi Gong, Daniele Venturi:
A new scalable algorithm for computational optimal control under uncertainty. CoRR abs/1909.07960 (2019) - 2018
- [j10]Catherine Brennan, Daniele Venturi:
Data-driven closures for stochastic dynamical systems. J. Comput. Phys. 372: 281-298 (2018) - [j9]Yuanran Zhu, Daniele Venturi:
Faber approximation of the Mori-Zwanzig equation. J. Comput. Phys. 372: 694-718 (2018) - [j8]Arnout M. P. Boelens
Parallel tensor methods for high-dimensional linear PDEs. J. Comput. Phys. 375: 519-539 (2018) - 2017
- [j7]Lucia Parussini
Multi-fidelity Gaussian process regression for prediction of random fields. J. Comput. Phys. 336: 36-50 (2017) - 2016
- [j6]Heyrim Cho
Numerical methods for high-dimensional probability density function equations. J. Comput. Phys. 305: 817-837 (2016) - [j5]Paris Perdikaris, Daniele Venturi, George E. Karniadakis:
Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets. SIAM J. Sci. Comput. 38(4) (2016) - 2015
- [j4]Heyrim Cho
Algorithms for Propagating Uncertainty Across Heterogeneous Domains. SIAM J. Sci. Comput. 37(6) (2015) - 2013
- [j3]Daniele Venturi, Daniel M. Tartakovsky
Exact PDF equations and closure approximations for advective-reactive transport. J. Comput. Phys. 243: 323-343 (2013) - [j2]Heyrim Cho
Adaptive Discontinuous Galerkin Method for Response-Excitation PDF Equations. SIAM J. Sci. Comput. 35(4) (2013) - 2012
- [j1]Daniele Venturi, George E. Karniadakis:
New evolution equations for the joint response-excitation probability density function of stochastic solutions to first-order nonlinear PDEs. J. Comput. Phys. 231(21): 7450-7474 (2012)
Coauthor Index
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