Niki Andreas Lopi

18 papers A* 1A 1C 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki.
EACL (Demonstrations)
Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona De Gibert Bonet, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann
2024 J jnl
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki.
CoRR
Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann
2024 J jnl
Towards Efficient and Scalable Training of Differentially Private Deep Learning.
CoRR
Sebastian Rodriguez Beltran, Marlon Tobaben, Niki Andreas Lopi, Antti Honkela
2023 — conf
Dozens of Translation Directions or Millions of Shared Parameters? Comparing Two Types of Multilinguality in Modular Machine Translation.
NoDaLiDa
Michele Boggia, Stig-Arne Grönroos, Niki Andreas Lopi, Timothee Mickus, Alessandro Raganato, Jörg Tiedemann, Raúl Vázquez
2023 A conf
Expansion of Visual Hints for Improved Generalization in Stereo Matching.
WACV
Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala
2022 J jnl
Expansion of Visual Hints for Improved Generalization in Stereo Matching.
CoRR
Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala
2022 C conf
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors.
FUSION
Muhammad F. Emzir, Niki Andreas Lopi, Zheng Zhao, Syeda Sakira Hassan, Simo Särkkä
2022 C conf
Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components.
EAMT
Raúl Vázquez, Michele Boggia, Alessandro Raganato, Niki Andreas Lopi, Stig-Arne Grönroos, Jörg Tiedemann
2022 — conf
Second-order Document Similarity Metrics for Transformers.
ICNLSP
Jarkko Lagus, Niki Andreas Lopi, Arto Klami
2022 J jnl
d3p - A Python Package for Differentially-Private Probabilistic Programming.
Proc. Priv. Enhancing Technol.
Lukas Prediger, Niki Andreas Lopi, Samuel Kaski, Antti Honkela
2021 A* conf
Spatio-Temporal Variational Gaussian Processes.
NeurIPS
Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas
2021 J jnl
Spatio-Temporal Variational Gaussian Processes.
CoRR
Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas
2021 J jnl
d3p - A Python Package for Differentially-Private Probabilistic Programming.
CoRR
Lukas Prediger, Niki Andreas Lopi, Samuel Kaski, Antti Honkela
2020 — conf
Multi-node Training for StyleGAN2.
ICPR Workshops (1)
Niki Andreas Lopi, Tuomas Kynkäänniemi
2020 J jnl
Optimal embedded pair Runge-Kutta schemes for pseudo-time stepping.
J. Comput. Phys.
Brian C. Vermeire, Niki Andreas Lopi, Peter E. Vincent
2019 J jnl
Locally adaptive pseudo-time stepping for high-order Flux Reconstruction.
J. Comput. Phys.
Niki Andreas Lopi, Freddie D. Witherden, Antony Jameson, Peter E. Vincent
2019 J jnl
Optimal Runge-Kutta schemes for pseudo time-stepping with high-order unstructured methods.
J. Comput. Phys.
Brian C. Vermeire, Niki Andreas Lopi, Peter E. Vincent
2018 J jnl
A high-order cross-platform incompressible Navier-Stokes solver via artificial compressibility with application to a turbulent jet.
Comput. Phys. Commun.
Niki Andreas Lopi, Freddie D. Witherden, Antony Jameson, Peter E. Vincent