2 citations · 6 across the 10 of their papers we have counts for
11 papers
Optimal control of partial differential equations in PyTorch using automatic differentiation and neural network surrogates
Denis Khimin, Julian Roth, Alexander Henkes +1
The take-home message of this paper is that solving optimal control problems can be computationally straightforward, provided that differentiable partial differential equation (PDE…
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics
Robin Schmöcker, Alexander Henkes, Julian Roth +1
This works investigates the generalization capabilities of MeshGraphNets (MGN) [Pfaff et al. Learning Mesh-Based Simulation with Graph Networks. ICML 2021] to unseen geometries for…
Adaptive space-time model order reduction with dual-weighted residual (MORe DWR) error control for poroelasticity
Hendrik Fischer, Julian Roth, Ludovic Chamoin +3
In this work, the space-time MORe DWR (Model Order Reduction with Dual-Weighted Residual error estimates) framework is extended and further developed for single-phase flow problems…
A monolithic space-time temporal multirate finite element framework for interface and volume coupled problems
Julian Roth, Martyna Soszyńska, Thomas Richter +1
In this work, we propose and computationally investigate a monolithic space-time multirate scheme for coupled problems. The novelty lies in the monolithic formulation of the multir…
MORe DWR: Space-time goal-oriented error control for incremental POD-based ROM
Hendrik Fischer, Julian Roth, Thomas Wick +2
In this work, the dual-weighted residual (DWR) method is applied to obtain a certified incremental proper orthogonal decomposition (POD) based reduced order model. A novel approach…
Tensor-product space-time goal-oriented error control and adaptivity with partition-of-unity dual-weighted residuals for nonstationary flow problems
Julian Roth, Jan Philipp Thiele, Uwe Köcher +1
In this work, the dual-weighted residual method is applied to a space-time formulation of nonstationary Stokes and Navier-Stokes flow. Tensor-product space-time finite elements are…
Automatic Evaluation of Speaker Similarity
Deja Kamil, Sanchez Ariadna, Roth Julian +1
We introduce a new automatic evaluation method for speaker similarity assessment, that is consistent with human perceptual scores. Modern neural text-to-speech models require a vas…
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module
Adam Gabryś, Goeric Huybrechts, Manuel Sam Ribeiro +6
State-of-the-art text-to-speech (TTS) systems require several hours of recorded speech data to generate high-quality synthetic speech. When using reduced amounts of training data,…
Cross-speaker style transfer for text-to-speech using data augmentation
Manuel Sam Ribeiro, Julian Roth, Giulia Comini +3
We address the problem of cross-speaker style transfer for text-to-speech (TTS) using data augmentation via voice conversion. We assume to have a corpus of neutral non-expressive d…
Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows
Iván Vallés-Pérez, Julian Roth, Grzegorz Beringer +2
Text-to-speech systems recently achieved almost indistinguishable quality from human speech. However, the prosody of those systems is generally flatter than natural speech, produci…
Neural network guided adjoint computations in dual weighted residual error estimation
Julian Roth, Max Schröder, Thomas Wick
In this work, we are concerned with neural network guided goal-oriented a posteriori error estimation and adaptivity using the dual weighted residual method. The primal problem is…