Olivier Beaumont

4 papers · 2021–2025 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

ICML (2) IJCAI (1) NeurIPS (1)

Top co-authors

Lionel Eyraud-Dubois (4) Julia Gusak (3) Xunyi Zhao (3) Alena Shilova (2) Théotime Le Hellard (2) Denis Dimitrov (1) Zhe Li (1) Alexandr Katrutsa (1) Ivan Oseledets (1) Daria Cherniuk (1)

Research topics

Deep Learning (4) Machine Learning (4) Application Areas (4) Optimization & Theory · Deep Learning (3) Optimization & Theory · Machine Learning (2) Techniques (2) Artificial Intelligence (1) Architectures (1) Core AI (1)

Keywords

activation memory (2) memory optimization (2) gradient checkpointing (2) training efficiency (1) deep neural network (1) memory efficiency (1) computation graph (1) mixed precision training (1) computational graph (1) large language model (1) activation checkpointing (1) tensor offloading (1) activation rematerialization (1) deep neural network training (1) runtime overhead (1) hierarchical (1) partitioning (1) solver (1) model compression (1) re-materialization (1)

Papers

HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks ICML 2025 Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch ICML 2023 Survey on Efficient Training of Large Neural Networks IJCAI 2022 Efficient Combination of Rematerialization and Offloading for Training DNNs NeurIPS 2021