Bertrand Charpentier
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
3
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Uncertainty for Active Learning on Graphs. | Dominik Fuchsgruber, Tom Wollschlger, Bertrand Charpentier, Antonio Oroz, Stephan Gnnemann |
| 2023 | ICML | Uncertainty Estimation for Molecules: Desiderata and Methods. | Tom Wollschlger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Gnnemann |
| 2022 | ICLR | Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions. | Bertrand Charpentier, Oliver Borchert, Daniel Zgner, Simon Geisler, Stephan Gnnemann |
| 2022 | ICLR | Differentiable DAG Sampling. | Bertrand Charpentier, Simon Kibler, Stephan Gnnemann |
| 2022 | ICLR | End-to-End Learning of Probabilistic Hierarchies on Graphs. | Daniel Zgner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Gnnemann |
| 2022 | ICML | Winning the Lottery Ahead of Time: Efficient Early Network Pruning. | John Rachwan, Daniel Zgner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, Stephan Gnnemann |
| 2021 | ICML | Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? | Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zgner, Sandhya Giri, Stephan Gnnemann |
| 2019 | IJCAI | Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering. | Bertrand Charpentier, Thomas Bonald |