Nathan de Lara

12 papers A* 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2023 — conf
A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning.
COMPLEX NETWORKS (1)
Thomas Bonald, Nathan de Lara
2023 J jnl
A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning.
CoRR
Thomas Bonald, Nathan de Lara
2023 A* conf
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning.
AAAI
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu
2022 J jnl
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning.
CoRR
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu
2020 J jnl
A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs.
CoRR
Nathan de Lara, Thomas Bonald
2020 — —
Algorithmic and software contributions to graph mining. (Contributions algorithmiques et logicielle à l'apprentissage automatique sur les graphes).
Nathan de Lara
2020 J jnl
Scikit-network: Graph Analysis in Python.
CoRR
Thomas Bonald, Nathan de Lara, Quentin Lutz, Bertrand Charpentier
2020 J jnl
Scikit-network: Graph Analysis in Python.
J. Mach. Learn. Res.
Thomas Bonald, Nathan de Lara, Quentin Lutz, Bertrand Charpentier
2020 A* conf
Spectral Embedding of Regularized Block Models.
ICLR
Nathan de Lara, Thomas Bonald
2019 J jnl
Graph Classification with Recurrent Variational Neural Networks.
CoRR
Edouard Pineau, Nathan de Lara
2019 J jnl
Spectral embedding of regularized block models.
CoRR
Nathan de Lara, Thomas Bonald
2018 J jnl
A Simple Baseline Algorithm for Graph Classification.
CoRR
Nathan de Lara, Edouard Pineau
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski