Francois Lanusse
5 papers · 2021–2024 · 2 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Conference Polyglot (2) ๐ Interdisciplinary Bridge ๐ Cross-Pollinator (11)
๐บ๏ธ
Taxonomy Completionist
(20)
๐ฅ
Mega-Team
(29)
Conferences
NIPS (4)
AAAI (1)
Top co-authors
Keywords
transfer learning
(2)
diffusion model
(2)
image classification
(1)
prior learning
(1)
pose estimation
(1)
model distillation
(1)
multimodal learning
(1)
expectation maximization
(1)
multi-modal learning
(1)
wavelet transform
(1)
feature attribution
(1)
posterior sampling
(1)
remote sensing
(1)
time series
(1)
generative model
(1)
surrogate model
(1)
foundation model
(1)
lie group
(1)
bayesian inverse problem
(1)
noisy observation
(1)
Papers
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
NIPS 2024
Learning Diffusion Priors from Observations by Expectation Maximization
NIPS 2024
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
NIPS 2024
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
AAAI 2024
Adaptive wavelet distillation from neural networks through interpretations
NIPS 2021