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Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs.

, , and . ECCV (17), volume 12362 of Lecture Notes in Computer Science, page 647-664. Springer, (2020)

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Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis., , and . ICCV, page 2699-2709. IEEE, (2019)Analysis of time discretization methods for Stokes equations with a nonsmooth forcing term., and . Numerische Mathematik, 126 (2): 293-319 (2014)Towards Learning a Realistic Rendering of Human Behavior., , , and . ECCV Workshops (2), volume 11130 of Lecture Notes in Computer Science, page 409-425. Springer, (2018)Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs., , and . ECCV (17), volume 12362 of Lecture Notes in Computer Science, page 647-664. Springer, (2020)Network-to-Network Translation with Conditional Invertible Neural Networks., , and . NeurIPS, (2020)Unsupervised Part Discovery by Unsupervised Disentanglement., , and . GCPR, volume 12544 of Lecture Notes in Computer Science, page 345-359. Springer, (2020)A Disentangling Invertible Interpretation Network for Explaining Latent Representations., , and . CVPR, page 9220-9229. Computer Vision Foundation / IEEE, (2020)Maximizing Mutual Shape Information., , , , , and . BMVC, page 909. BMVA Press, (2022)Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation., , , , , and . CoRR, (2024)Towards Unified Keyframe Propagation Models., , and . CoRR, (2022)