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Explaining deep neural networks and beyond: A review of methods and applications

, , , , and . Proceedings of the IEEE, 109 (3): 247--278 (2021)

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Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories., , , , , and . CoRR, (2023)From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space., , , , and . CoRR, (2023)Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications., , , , and . Proc. IEEE, 109 (3): 247-278 (2021)Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond., , , , and . CoRR, (2020)Explaining deep neural networks and beyond: A review of methods and applications, , , , and . Proceedings of the IEEE, 109 (3): 247--278 (2021)Finding and removing Clever Hans: Using explanation methods to debug and improve deep models., , , , , and . Inf. Fusion, (2022)On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models., , , , , , , and . CoRR, (2020)Towards Robust Explanations for Deep Neural Networks., , , and . CoRR, (2020)PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging., , , , and . CoRR, (2022)Understanding Patch-Based Learning of Video Data by Explaining Predictions., , , and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)