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Montavon, Grégoire

  1. Evaluating the visualization of what a Deep Neural Network has learned
    2015/09/21 by Wojciech Samek, Alexander Binder, Samek, Wojciech +7 · 26 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification
  2. Layer-wise Relevance Propagation for Neural Networks with Local\n Renormalization Layers
    2016/04/04 by Alexander Binder, Binder, Alexander, Grégoire Montavon +7 · 24 citations
    Computer Science · #Advanced Neural Network Applications #Medical Image Segmentation Techniques #Domain Adaptation and Few-Shot Learning
  3. XAI for Transformers: Better Explanations through Conservative Propagation
    2022/02/15 by Ameen Ali, Thomas Schnake, Ali, Ameen +9 · 12 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications
  4. iNNvestigate neural networks!
    2018/08/13 by Maximilian Alber, Sebastian Lapuschkin, Alber, Maximilian +17 · 6 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning
  5. Wasserstein Training of Boltzmann Machines
    2015/07/07 by Grégoire Montavon, Klaus‐Robert Müller, Montavon, Grégoire +3 · 3 citations
    Computer Science · Engineering · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Lattice Boltzmann Simulation Studies #Model Reduction and Neural Networks
  6. MambaLRP: Explaining Selective State Space Sequence Models
    2024/06/11 by Farnoush Rezaei Jafari, Jafari, Farnoush Rezaei, Grégoire Montavon +6 · 1 voice · 6 citations
    Computer Science · Decision Sciences · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Simulation Techniques and Applications #cs.AI #cs.LG #stat.ML
  7. Explaining Recurrent Neural Network Predictions in Sentiment Analysis
    2017/06/22 by Arras, Leila, Montavon, Grégoire, Müller, Klaus-Robert +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  8. Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
    2016/11/24 by Wojciech Samek, Grégoire Montavon, Samek, Wojciech +7 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
  9. Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
    2022/11/22 by Alexander Binder, Binder, Alexander, Leander Weber +9 · 3 citations
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  10. The Clever Hans Effect in Anomaly Detection
    2020/06/18 by Jacob Kauffmann, Kauffmann, Jacob, Lukas Ruff +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  11. Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
    2024/10/17 by Esders, Malte, Schnake, Thomas, Lederer, Jonas +4 · 3 citations
    #Chemical Physics (physics.chem-ph) #FOS: Physical sciences
  12. Opportunities and limitations of explaining quantum machine learning
    2024/12/19 by Elies Gil-Fuster, Jonas R. Naujoks, Gil-Fuster, Elies +9 · 2 citations
    Materials Science · #Machine Learning in Materials Science
  13. Explainable AI for Time Series via Virtual Inspection Layers
    2023/03/11 by Vielhaben, Johanna, Lapuschkin, Sebastian, Montavon, Grégoire +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification
    2025/06/20 by Drexlin, David Jacob, Dippel, Jonas, Hense, Julius +4 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  15. Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation
    2023/10/02 by Bender, Sidney, Anders, Christopher J., Chormai, Pattarawatt +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  16. Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features
    2024/08/30 by Schnake, Thomas, Jafari, Farnoush Rezaei, Lederer, Jonas +5 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)