Antoine Labatie

3 papers · 2019–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze

Venues

ICML (1) NeurIPS (1) WACV (1)

Top co-authors

Nina Lardiere (1) Dominic Masters (1) Nicolas Gonthier (1) Michael Vaccaro (1) Anatol Garioud (1) Carlo Luschi (1) Zach Eaton-Rosen (1)

Research topics

Deep Learning (3) Machine Learning (2) Techniques (2) Computer Vision (1) Architectures (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

batch normalization (2) multimodal learning (1) multispectral imaging (1) remote sensing (1) earth observation (1) signal propagation (1) deep neural network (1) masked autoencoder (1) residual network (1) skip connection (1) layer normalization (1) instance normalization (1) neural network (1) group normalization (1) self-supervised learning (1) proxy normalization (1)

Papers

MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data WACV 2026 Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence NeurIPS 2021 Characterizing Well-Behaved vs. Pathological Deep Neural Networks ICML 2019