Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers

21 April 2022

Papers citing "Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers"

8 / 8 papers shown

Title
Learning Nonlinear Dynamics in Physical Modelling Synthesis using Neural Ordinary Differential Equations Victor Zheleznov Stefan Bilbao Alec Wright Simon King 11 0 0 15 May 2025
Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods Rodrigo Diaz Carlos De La Vega Martin Mark Sandler 33 2 0 29 Aug 2024
DDSP Guitar Amp: Interpretable Guitar Amplifier Modeling Yen-Tung Yeh Yu-Hua Chen Yuan-Chiao Cheng Jui-Te Wu Jun-Jie Fu Yi-Fan Yeh Yi-Hsuan Yang 42 2 0 21 Aug 2024
Hyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio Effect Modeling Yen-Tung Yeh Wen-Yi Hsiao Yi-Hsuan Yang 26 6 0 09 Aug 2024
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation J. Lee Jaehyun Park Min Jun Choi Kyogu Lee 32 2 0 07 Jul 2024
Learning to Solve Inverse Problems for Perceptual Sound Matching Han Han Vincent Lostanlen Mathieu Lagrange 21 3 0 23 Nov 2023
Modelling black-box audio effects with time-varying feature modulation Marco Comunità C. Steinmetz Huy Phan Joshua D. Reiss 44 14 0 01 Nov 2022
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 205 2,282 0 18 Oct 2020