A high-order cross-platform incompressible Navier-Stokes solver via artificial compressibility with application to a turbulent jet. - Niki Andreas Lopi; Freddie D. Witherden; Antony Jameson; Peter E. Vincent (Comput. Phys. Commun., 2018)

Locally adaptive pseudo-time stepping for high-order Flux Reconstruction. - Niki Andreas Lopi; Freddie D. Witherden; Antony Jameson; Peter E. Vincent (J. Comput. Phys., 2019)

Optimal Runge-Kutta schemes for pseudo time-stepping with high-order unstructured methods. - Brian C. Vermeire; Niki Andreas Lopi; Peter E. Vincent (J. Comput. Phys., 2019)

Multi-node Training for StyleGAN2. - Niki Andreas Lopi; Tuomas Kynkäänniemi (ICPR Workshops (1), 2020)

Optimal embedded pair Runge-Kutta schemes for pseudo-time stepping. - Brian C. Vermeire; Niki Andreas Lopi; Peter E. Vincent (J. Comput. Phys., 2020)

Spatio-Temporal Variational Gaussian Processes. - Oliver Hamelijnck; William J. Wilkinson; Niki Andreas Lopi; Arno Solin; Theodoros Damoulas (NeurIPS, 2021)

Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components. - Raúl Vázquez; Michele Boggia; Alessandro Raganato; Niki Andreas Lopi; Stig-Arne Grönroos; Jörg Tiedemann (EAMT, 2022)

Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors. - Muhammad F. Emzir; Niki Andreas Lopi; Zheng Zhao 004; Syeda Sakira Hassan; Simo Särkkä (FUSION, 2022)

Second-order Document Similarity Metrics for Transformers. - Jarkko Lagus; Niki Andreas Lopi; Arto Klami (ICNLSP, 2022)

d3p - A Python Package for Differentially-Private Probabilistic Programming. - Lukas Prediger; Niki Andreas Lopi; Samuel Kaski; Antti Honkela (Proc. Priv. Enhancing Technol., 2022)

Dozens of Translation Directions or Millions of Shared Parameters? Comparing Two Types of Multilinguality in Modular Machine Translation. - Michele Boggia; Stig-Arne Grönroos; Niki Andreas Lopi; Timothee Mickus; Alessandro Raganato; Jörg Tiedemann; Raúl Vázquez (NoDaLiDa, 2023)

Expansion of Visual Hints for Improved Generalization in Stereo Matching. - Andrea Pilzer; Yuxin Hou; Niki Andreas Lopi; Arno Solin; Juho Kannala (WACV, 2023)

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. - Timothee Mickus; Stig-Arne Grönroos; Joseph Attieh; Michele Boggia; Ona de Gibert Bonet; Shaoxiong Ji; Niki Andreas Lopi; Alessandro Raganato; Raúl Vázquez; Jörg Tiedemann (EACL (Demonstrations), 2024)

Towards Efficient and Scalable Training of Differentially Private Deep Learning. - Sebastian Rodriguez Beltran; Marlon Tobaben; Niki Andreas Lopi; Antti Honkela (CoRR, 2024)