Bertrand Charpentier

1. Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
   2020/06/16 by Bertrand Charpentier, Daniel Zügner, Charpentier, Bertrand +3 · 26 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Edge Directionality Improves Learning on Heterophilic Graphs
   2023/05/17 by Emanuele Rossi, Bertrand Charpentier, Rossi, Emanuele +9 · 28 citations
   Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
3. Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
   2021/10/26 by Maximilian Stadler, Stadler, Maximilian, Bertrand Charpentier +7 · 13 citations
   Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Differentiable DAG Sampling
   2022/03/16 by Bertrand Charpentier, Simon Kibler, Charpentier, Bertrand +3 · 7 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
5. Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
   2023/06/27 by Lukas Gosch, Simon Geisler, Gosch, Lukas +9 · 8 citations
   Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
   2020/10/28 by Anna-Kathrin Kopetzki, Bertrand Charpentier, Kopetzki, Anna-Kathrin +7 · 5 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research
7. Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions
   2021/05/10 by Bertrand Charpentier, Charpentier, Bertrand, Oliver Borchert +7 · 3 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
8. Uncertainty Estimation for Molecules: Desiderata and Methods
   2023/06/20 by Tom Wollschläger, Wollschläger, Tom, Nicholas Gao +7 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Metabolomics and Mass Spectrometry Studies
9. Training, Architecture, and Prior for Deterministic Uncertainty Methods
   2023/03/10 by Bertrand Charpentier, Charpentier, Bertrand, Chenxiang Zhang +3 · 2 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
10. Structurally Prune Anything: Any Architecture, Any Framework, Any Time
    2024/03/03 by Xun Wang, Wang, Xun, John Rachwan +5 · 2 citations
    Engineering · #BIM and Construction Integration #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. Winning the Lottery Ahead of Time: Efficient Early Network Pruning
    2022/06/21 by John Rachwan, Rachwan, John, Daniel Zügner +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
12. Uncertainty for Active Learning on Graphs
    2024/05/02 by Dominik Fuchsgruber, Fuchsgruber, Dominik, Tom Wollschläger +7 · 2 citations
    Computer Science · #Machine Learning and Algorithms