Bertrand Charpentier

Computer Science · Physical Sciences

10h-index286citations33works0.02yr avg
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Research Topics

Anomaly Detection Techniques and Applications(10), Adversarial Robustness in Machine Learning(10), Complex Network Analysis Techniques(9), Advanced Graph Neural Networks(7), Advanced Clustering Algorithms Research(5)

Publications33 total

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation
arXiv (Cornell University)·2025Open Access
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
arXiv (Cornell University)·2024Open Access
Uncertainty for Active Learning on Graphs
arXiv (Cornell University)·2024Open Access
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
arXiv (Cornell University)·2024Open Access
Expected Probabilistic Hierarchies
2024
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
arXiv (Cornell University)·2023· 10 citedOpen Access
Uncertainty Estimation for Molecules: Desiderata and Methods
arXiv (Cornell University)·2023· 5 citedOpen Access
Edge Directionality Improves Learning on Heterophilic Graphs
arXiv (Cornell University)·2023· 22 citedOpen Access
Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
arXiv (Cornell University)·2023· 7 citedOpen Access
Training, Architecture, and Prior for Deterministic Uncertainty Methods
arXiv (Cornell University)·2023Open Access
On the Robustness and Anomaly Detection of Sparse Neural Networks
arXiv (Cornell University)·2022· 2 citedOpen Access
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
arXiv (Cornell University)·2022· 4 citedOpen Access
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
arXiv (Cornell University)·2022· 9 citedOpen Access
Differentiable DAG Sampling
arXiv (Cornell University)·2022· 4 citedOpen Access
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
arXiv (Cornell University)·2021· 9 citedOpen Access
Graph Posterior Network: Bayesian Predictive Uncertainty for Node\n Classification
arXiv (Cornell University)·2021· 24 citedOpen Access
On Out-of-distribution Detection with Energy-based Models
arXiv (Cornell University)·2021· 2 citedOpen Access
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions.
arXiv (Cornell University)·2021· 12 citedOpen Access
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions
arXiv (Cornell University)·2021· 3 citedOpen Access
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
arXiv (Cornell University)·2020· 5 citedOpen Access
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Frequent Co-authors

Stephan Günnemann(25), Daniel Zügner(13), Thomas Bonald(7), Simon Geisler(4), John Rachwan(4), Simon Geisler(3), Alexis Galland(2), Alexandre Hollocou(2), Marin Biloš(2), Oliver Borchert(2), Anna-Kathrin Kopetzki(2), Sandhya Giri(2), Tom Wollschläger(2), Morgane Ayle(2), Maximilian Stadler(1), Emanuele Rossi(1), Francesco Di Giovanni(1), Fabrizio Frasca(1), Michael M. Bronstein(1), Nathan de Lara(1)