Crabbé, Jonathan
- MatterGen: a generative model for inorganic materials design
2023/12/06 by Claudio Zeni, Zeni, Claudio, Robert Pinsler +41 · 1 voice · 21 citations
Computer Science · Engineering · Materials Science · Physics and Astronomy · #Machine Learning in Materials Science #Modular Robots and Swarm Intelligence #cond-mat.mtrl-sci #cs.AI
- Concept Activation Regions: A Generalized Framework For Concept-Based Explanations
2022/09/22 by Crabbé, Jonathan, van der Schaar, Mihaela · 9 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Explaining Time Series Predictions with Dynamic Masks
2021/06/09 by Jonathan Crabbé, Mihaela van der Schaar, Crabbé, Jonathan +1 · 7 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
- Time Series Diffusion in the Frequency Domain
2024/02/08 by Crabbé, Jonathan, Huynh, Nicolas, Stanczuk, Jan +1 · 10 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
2022/06/16 by Jonathan Crabbé, Alicia Curth, Crabbé, Jonathan +5 · 6 citations
Mathematics · Medicine · Computer Science · #Advanced Causal Inference Techniques #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare
- Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
2023/04/13 by Jonathan Crabbé, Crabbé, Jonathan, Mihaela van der Schaar +1 · 5 citations
Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science
- Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
2022/10/24 by Seedat, Nabeel, Crabbé, Jonathan, Bica, Ioana +1 · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
2023/03/09 by Jeffares, Alan, Liu, Tennison, Crabbé, Jonathan +2 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Joint Training of Deep Ensembles Fails Due to Learner Collusion
2023/01/26 by Alan Jeffares, Tennison Liu, Jeffares, Alan +5 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Explaining Latent Representations with a Corpus of Examples
2021/10/28 by Crabbé, Jonathan, Qian, Zhaozhi, Imrie, Fergus +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
- Data-SUITE: Data-centric identification of in-distribution incongruous examples
2022/02/17 by Nabeel Seedat, Jonathan Crabbé, Seedat, Nabeel +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare
- Label-Free Explainability for Unsupervised Models
2022/03/03 by Crabbé, Jonathan, van der Schaar, Mihaela · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design
2025/07/25 by Latent Labs Team, Bridgland, Alex, Crabbé, Jonathan +13 · 4 citations
#Biomolecules (q-bio.BM) #FOS: Biological sciences
- LaTable: Towards Large Tabular Models
2024/06/25 by van Breugel, Boris, Crabbé, Jonathan, Davis, Rob +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)