Vincent LE GUEN
5 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Keywords
unsupervised learning
(1)
video prediction
(1)
feature disentanglement
(1)
time series
(1)
time series forecasting
(1)
non-stationary time series
(1)
determinantal point process
(1)
dynamical system
(1)
recurrent neural network
(1)
deep neural network
(1)
partial differential equation
(1)
loss function
(1)
latent space
(1)
probabilistic forecasting
(1)
differential equation
(1)
data-driven model
(1)
data assimilation
(1)
physical dynamics
(1)
hybrid model
(1)
physical modeling
(1)
Papers
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
ECCV 2022
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
ICLR 2021
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction
CVPR 2020
Probabilistic Time Series Forecasting with Shape and Temporal Diversity
NeurIPS 2020
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
NeurIPS 2019