Gerald Woo
5 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
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Mega-Team · Squad
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Research topics
Machine Learning
(4)
Data Science & Analytics
(3)
Deep Learning
(3)
Methods
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Application Areas
(1)
Core AI
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
time series forecasting
(3)
transformer
(2)
pretraining
(2)
deep learning
(1)
distributed computing
(1)
hyperparameter tuning
(1)
disentangled representation
(1)
inductive bia
(1)
mixture of expert
(1)
model ensemble
(1)
model ensembling
(1)
continuous-time dynamics
(1)
seasonal-trend decomposition
(1)
time-index model
(1)
long sequence forecasting
(1)
sparse moe
(1)
time series foundation model
(1)
zero-shot
(1)
forecasting
(1)
lotsa
(1)
Papers
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
ICML 2025
Unified Training of Universal Time Series Forecasting Transformers
ICML 2024
Learning Deep Time-index Models for Time Series Forecasting
ICML 2023
Merlion: End-to-End Machine Learning for Time Series
JMLR 2023
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
ICLR 2022