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Niki A. Loppi
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2020 – today
- 2024
- [c8]Timothee Mickus
, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert Bonet, Shaoxiong Ji, Niki A. Loppi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann:
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. EACL (Demonstrations) 2024: 127-136 - [i4]Sebastian Rodriguez Beltran, Marlon Tobaben, Niki A. Loppi, Antti Honkela:
Towards Efficient and Scalable Training of Differentially Private Deep Learning. CoRR abs/2406.17298 (2024) - 2023
- [c7]Michele Boggia, Stig-Arne Grönroos, Niki A. Loppi, Timothee Mickus
Dozens of Translation Directions or Millions of Shared Parameters? Comparing Two Types of Multilinguality in Modular Machine Translation. NoDaLiDa 2023: 238-247 - [c6]Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin
Expansion of Visual Hints for Improved Generalization in Stereo Matching. WACV 2023: 5829-5838 - 2022
- [j5]Lukas Prediger
d3p - A Python Package for Differentially-Private Probabilistic Programming. Proc. Priv. Enhancing Technol. 2022(2): 407-425 (2022) - [c5]Raúl Vázquez, Michele Boggia, Alessandro Raganato, Niki A. Loppi, Stig-Arne Grönroos, Jörg Tiedemann:
Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components. EAMT 2022: 309-310 - [c4]Muhammad F. Emzir, Niki A. Loppi, Zheng Zhao, Syeda Sakira Hassan, Simo Särkkä:
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors. FUSION 2022: 1-7 - [c3]Jarkko Lagus, Niki A. Loppi, Arto Klami:
Second-order Document Similarity Metrics for Transformers. ICNLSP 2022: 128-133 - [i3]Andrea Pilzer, Yuxin Hou, Niki A. Loppi, Arno Solin, Juho Kannala:
Expansion of Visual Hints for Improved Generalization in Stereo Matching. CoRR abs/2211.00392 (2022) - 2021
- [c2]Oliver Hamelijnck, William J. Wilkinson, Niki A. Loppi, Arno Solin, Theodoros Damoulas:
Spatio-Temporal Variational Gaussian Processes. NeurIPS 2021: 23621-23633 - [i2]Lukas Prediger, Niki A. Loppi, Samuel Kaski, Antti Honkela:
d3p - A Python Package for Differentially-Private Probabilistic Programming. CoRR abs/2103.11648 (2021) - [i1]Oliver Hamelijnck, William J. Wilkinson, Niki A. Loppi, Arno Solin, Theodoros Damoulas:
Spatio-Temporal Variational Gaussian Processes. CoRR abs/2111.01732 (2021) - 2020
- [j4]Brian C. Vermeire
Optimal embedded pair Runge-Kutta schemes for pseudo-time stepping. J. Comput. Phys. 415: 109499 (2020) - [c1]Niki A. Loppi, Tuomas Kynkäänniemi:
Multi-node Training for StyleGAN2. ICPR Workshops (1) 2020: 677-684
2010 – 2019
- 2019
- [j3]Brian C. Vermeire
Optimal Runge-Kutta schemes for pseudo time-stepping with high-order unstructured methods. J. Comput. Phys. 383: 55-71 (2019) - [j2]Niki A. Loppi, Freddie D. Witherden, Antony Jameson, Peter E. Vincent:
Locally adaptive pseudo-time stepping for high-order Flux Reconstruction. J. Comput. Phys. 399 (2019) - 2018
- [j1]Niki A. Loppi, Freddie D. Witherden, Antony Jameson, Peter E. Vincent:
A high-order cross-platform incompressible Navier-Stokes solver via artificial compressibility with application to a turbulent jet. Comput. Phys. Commun. 233: 193-205 (2018)
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last updated on 2024-07-24 20:41 CEST by the dblp team
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