Bertrand Charpentier
Technische Universität München
H-index: 11
Europe-Germany
Top articles of Bertrand Charpentier
Edge directionality improves learning on heterophilic graphs
2024/4/17
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
arXiv preprint arXiv:2403.18955
2024/3/3
Adversarial training for graph neural networks: Pitfalls, solutions, and new directions
2023/11/2
Lukas Gosch
H-Index: 1
Simon Geisler
H-Index: 2
Bertrand Charpentier
H-Index: 2
Daniel Zügner
H-Index: 6
Stephan Günnemann
H-Index: 30
Uncertainty Estimation for Independent and Non-Independent Data
2024
Uncertainty for Active Learning on Graphs
2023/10/13
Bertrand Charpentier
H-Index: 2
Stephan Günnemann
H-Index: 30
Expected Probabilistic Hierarchies
2023/10/13
Marcel Kollovieh
H-Index: 1
Bertrand Charpentier
H-Index: 2
Daniel Zügner
H-Index: 6
Stephan Günnemann
H-Index: 30
Uncertainty estimation for molecules: Desiderata and methods
2023/7/3
Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
Tackling Climate Change with Machine Learning: Global Perspectives and Local Challenges Workshop (TCCML - ICLR)
2023/4/3
Bertrand Charpentier
H-Index: 2
Stephan Günnemann
H-Index: 30
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Pitfalls of limited data and computation for Trustworthy ML Workshop (TrustML - ICLR)
2023/3/10
Bertrand Charpentier
H-Index: 2
Stephan Günnemann
H-Index: 30
Winning the lottery ahead of time: Efficient early network pruning
2022/6/28
Daniel Zügner
H-Index: 6
Bertrand Charpentier
H-Index: 2
Simon Geisler
H-Index: 2
Morgane Ayle
H-Index: 0
Stephan Günnemann
H-Index: 30
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
arXiv preprint arXiv:2206.01558
2022/6/3
Differentiable DAG Sampling
International Conference on Learning Representations
2022/3/16
Bertrand Charpentier
H-Index: 2
Stephan Günnemann
H-Index: 30
On the Robustness and Anomaly Detection of Sparse Neural Networks
Sparsity in Neural Networks Workshop
2022/7/9
Morgane Ayle
H-Index: 0
Bertrand Charpentier
H-Index: 2
Daniel Zügner
H-Index: 6
Simon Geisler
H-Index: 2
Stephan Günnemann
H-Index: 30
Graph posterior network: Bayesian predictive uncertainty for node classification
Advances in Neural Information Processing Systems
2021/12/6
Bertrand Charpentier
H-Index: 2
Simon Geisler
H-Index: 2
Daniel Zügner
H-Index: 6
Stephan Günnemann
H-Index: 30
End-to-end learning of probabilistic hierarchies on graphs
2021/9/29
Daniel Zügner
H-Index: 6
Bertrand Charpentier
H-Index: 2
Morgane Ayle
H-Index: 0
Stephan Günnemann
H-Index: 30
On out-of-distribution detection with energy-based models
2021/7/3
Sven Elflein
H-Index: 2
Bertrand Charpentier
H-Index: 2
Daniel Zügner
H-Index: 6
Stephan Günnemann
H-Index: 30
Evaluating robustness of predictive uncertainty estimation: Are Dirichlet-based models reliable?
2021/7/1
Bertrand Charpentier
H-Index: 2
Daniel Zügner
H-Index: 6
Sandhya Giri
H-Index: 0
Stephan Günnemann
H-Index: 30
Posterior network: Uncertainty estimation without ood samples via density-based pseudo-counts
Advances in Neural Information Processing Systems 33
2020/6/16
Scikit-network: Graph analysis in python
Journal of Machine Learning Research
2020
Bertrand Charpentier
H-Index: 2
Co-Authors
