Daniele Venturi

39 papers Journal 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Holographic generative flows with AdS/CFT. CoRR Ehsan Mirafzali, Sanjit Shashi, Sanya Murdeshwar, Edgar Shaghoulian, Daniele Venturi, Razvan Marinescu
2026	J	`jnl`	Uncertainty propagation in feed-forward neural network models. Neural Networks Jeremy Diamzon, Daniele Venturi
2025	J	`jnl`	A Malliavin calculus approach to score functions in diffusion generative models. CoRR Ehsan Mirafzali, Frank Proske, Utkarsh Gupta, Daniele Venturi, Razvan Marinescu
2025	J	`jnl`	Generative forecasting with joint probability models. CoRR Patrick Wyrod, Ashesh Chattopadhyay, Daniele Venturi
2025	J	`jnl`	Malliavin-Bismut Score-based Diffusion Models. CoRR Ehsan Mirafzali, Utkarsh Gupta, Patrick Wyrod, Frank Proske, Daniele Venturi, Razvan Marinescu
2025	J	`jnl`	Uncertainty propagation in feed-forward neural network models. CoRR Jeremy Diamzon, Daniele Venturi
2024	J	`jnl`	Tensor approximation of functional differential equations. CoRR Abram Rodgers, Daniele Venturi
2023	J	`jnl`	Coordinate-adaptive integration of PDEs on tensor manifolds. CoRR Alec Dektor, Daniele Venturi
2023	J	`jnl`	Implicit Integration of Nonlinear Evolution Equations on Tensor Manifolds. J. Sci. Comput. Abram Rodgers, Daniele Venturi
2023	J	`jnl`	Tensor rank reduction via coordinate flows. J. Comput. Phys. Alec Dektor, Daniele Venturi
2022	J	`jnl`	Adaptive Integration of Nonlinear Evolution Equations on Tensor Manifolds. J. Sci. Comput. Abram Rodgers, Alec Dektor, Daniele Venturi
2022	J	`jnl`	Implicit step-truncation integration of nonlinear PDEs on low-rank tensor manifolds. CoRR Abram Rodgers, Daniele Venturi
2022	J	`jnl`	Tensor rank reduction via coordinate flows. CoRR Alec Dektor, Daniele Venturi
2022	J	`jnl`	The Mori-Zwanzig formulation of deep learning. CoRR Daniele Venturi, Xiantao Li
2021	J	`jnl`	Dynamic tensor approximation of high-dimensional nonlinear PDEs. J. Comput. Phys. Alec Dektor, Daniele Venturi
2021	J	`jnl`	Rank-Adaptive Tensor Methods for High-Dimensional Nonlinear PDEs. J. Sci. Comput. Alec Dektor, Abram Rodgers, Daniele Venturi
2020	J	`jnl`	A new scalable algorithm for computational optimal control under uncertainty. J. Comput. Phys. Panos Lambrianides, Qi Gong, Daniele Venturi
2020	J	`jnl`	Dynamic tensor approximation of high-dimensional nonlinear PDEs. CoRR Alec Dektor, Daniele Venturi
2020	J	`jnl`	Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs. J. Comput. Phys. Alec Dektor, Daniele Venturi
2020	J	`jnl`	Improving neural network predictions of material properties with limited data using transfer learning. CoRR Schuyler Krawczuk, Daniele Venturi
2020	J	`jnl`	Rank-adaptive tensor methods for high-dimensional nonlinear PDEs. CoRR Alec Dektor, Abram Rodgers, Daniele Venturi
2020	J	`jnl`	Spectral methods for nonlinear functionals and functional differential equations. CoRR Daniele Venturi, Alec Dektor
2020	J	`jnl`	Stability analysis of hierarchical tensor methods for time-dependent PDEs. J. Comput. Phys. Abram Rodgers, Daniele Venturi
2020	J	`jnl`	Step-truncation integrators for evolution equations on low-rank tensor manifolds. CoRR Abram Rodgers, Daniele Venturi
2020	J	`jnl`	Tensor methods for the Boltzmann-BGK equation. J. Comput. Phys. Arnout M. P. Boelens, Daniele Venturi, Daniel M. Tartakovsky
2019	J	`jnl`	A new scalable algorithm for computational optimal control under uncertainty. CoRR Panos Lambrianides, Qi Gong, Daniele Venturi
2019	J	`jnl`	Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs. CoRR Alec Dektor, Daniele Venturi
2019	J	`jnl`	Generalized Langevin equations for systems with local interactions. CoRR Yuanran Zhu, Daniele Venturi
2019	J	`jnl`	Stability analysis of hierarchical tensor methods for time-dependent PDEs. CoRR Abram Rodgers, Daniele Venturi
2018	J	`jnl`	Data-driven closures for stochastic dynamical systems. J. Comput. Phys. Catherine Brennan, Daniele Venturi
2018	J	`jnl`	Faber approximation of the Mori-Zwanzig equation. J. Comput. Phys. Yuanran Zhu, Daniele Venturi
2018	J	`jnl`	Parallel tensor methods for high-dimensional linear PDEs. J. Comput. Phys. Arnout M. P. Boelens, Daniele Venturi, Daniel M. Tartakovsky
2017	J	`jnl`	Multi-fidelity Gaussian process regression for prediction of random fields. J. Comput. Phys. Lucia Parussini, Daniele Venturi, Paris Perdikaris, George E. Karniadakis
2016	J	`jnl`	Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets. SIAM J. Sci. Comput. Paris Perdikaris, Daniele Venturi, George E. Karniadakis
2016	J	`jnl`	Numerical methods for high-dimensional probability density function equations. J. Comput. Phys. Heyrim Cho, Daniele Venturi, George E. Karniadakis
2015	J	`jnl`	Algorithms for Propagating Uncertainty Across Heterogeneous Domains. SIAM J. Sci. Comput. Heyrim Cho, Xiu Yang, Daniele Venturi, George E. Karniadakis
2013	J	`jnl`	Adaptive Discontinuous Galerkin Method for Response-Excitation PDF Equations. SIAM J. Sci. Comput. Heyrim Cho, Daniele Venturi, George E. Karniadakis
2013	J	`jnl`	Exact PDF equations and closure approximations for advective-reactive transport. J. Comput. Phys. Daniele Venturi, Daniel M. Tartakovsky, Alexandre M. Tartakovsky, George E. Karniadakis
2012	J	`jnl`	New evolution equations for the joint response-excitation probability density function of stochastic solutions to first-order nonlinear PDEs. J. Comput. Phys. Daniele Venturi, George E. Karniadakis