Niki A. Loppi

According to our database, Niki A. Loppi authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Efficient and Scalable Training of Differentially Private Deep Learning.

Sebastian Rodriguez Beltran, Marlon Tobaben, Niki A. Loppi, Antti Honkela

CoRR, 2024

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki.

Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert Bonet, Shaoxiong Ji, Niki A. Loppi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Expansion of Visual Hints for Improved Generalization in Stereo Matching.

Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Dozens of Translation Directions or Millions of Shared Parameters? Comparing Two Types of Multilinguality in Modular Machine Translation.

Michele Boggia, Stig-Arne Grönroos, Niki A. Loppi, Timothee Mickus, Alessandro Raganato, Jörg Tiedemann, Raúl Vázquez

Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

2022

d3p - A Python Package for Differentially-Private Probabilistic Programming.

Lukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela

Proc. Priv. Enhancing Technol., 2022

Second-order Document Similarity Metrics for Transformers.

Jarkko Lagus, Niki A. Loppi, Arto Klami

Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors.

Muhammad F. Emzir, Niki A. Loppi, Zheng Zhao, Syeda Sakira Hassan, Simo Särkkä

Proceedings of the 25th International Conference on Information Fusion, 2022

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 A. Loppi, Stig-Arne Grönroos, Jörg Tiedemann

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

2021

Spatio-Temporal Variational Gaussian Processes.

Oliver Hamelijnck, William J. Wilkinson, Niki A. Loppi, Arno Solin, Theodoros Damoulas

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Optimal embedded pair Runge-Kutta schemes for pseudo-time stepping.

Brian C. Vermeire, Niki A. Loppi, Peter E. Vincent

J. Comput. Phys., 2020

Multi-node Training for StyleGAN2.

Niki A. Loppi, Tuomas Kynkäänniemi

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Optimal Runge-Kutta schemes for pseudo time-stepping with high-order unstructured methods.

Brian C. Vermeire, Niki A. Loppi, Peter E. Vincent

J. Comput. Phys., 2019

Locally adaptive pseudo-time stepping for high-order Flux Reconstruction.

Niki A. Loppi, Freddie D. Witherden, Antony Jameson, Peter E. Vincent

J. Comput. Phys., 2019

2018

A high-order cross-platform incompressible Navier-Stokes solver via artificial compressibility with application to a turbulent jet.

Niki A. Loppi, Freddie D. Witherden, Antony Jameson, Peter E. Vincent

Comput. Phys. Commun., 2018