Identity
- Type
- national lab
- Country label
- Canada
- HQ country
- Canada
- Founding country
- not in the notes
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
Lag-LlamaMorgan Stanley, ServiceNow (ServiceNow Research, Montreal), Universite de Montreal, Milatime series12 Oct 2023
ULTRAIntel, Milagraph6 Oct 2023
GraphGPSMila, Universite de Montrealgraph25 May 2022
N-BEATSElement AI, Milatime series24 May 2019
RotatEPeking University, Milagraph26 Feb 2019Links
Organisation
Milanational lab, Canada
Milanational lab, CanadaModels
Lag-LlamaMorgan Stanley, time series
ULTRAIntel, graph
GraphGPSMila, graph
N-BEATSElement AI, time series+2 more
Lag-LlamaMorgan Stanley, time series
ULTRAIntel, graph
GraphGPSMila, graph
N-BEATSElement AI, time series+2 moreUse Casesnone recorded
Who Runs Itnone recorded
Models 6
Lag-LlamaMorgan Stanley, ServiceNow (ServiceNow Research, Montreal), Universite de Montreal, Mila, time seriesDeveloper
GraphGPSMila, Universite de Montreal, graphDeveloper
N-BEATSElement AI, Mila, time seriesDeveloper
RotatEPeking University, Mila, graphDeveloper
ULTRAIntel, Mila, graphDeveloperScores
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting arxiv.org https://arxiv.org/html/2310.08278v3
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Mila", https://aurion.semai.id/organisations/mila/, records of October 2026.