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This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks.

, , , and . CoRR, (2021)

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The Role of Memory in Stochastic Optimization., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 356-366. AUAI Press, (2019)Stochastic Normalizing Flows., , and . NeurIPS, (2020)Rigid Body Flows for Sampling Molecular Crystal Structures., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 17301-17326. PMLR, (2023)Convolutional Networks for Spherical Signals., , , and . CoRR, (2017)Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022., , , , , , , , , and 3 other author(s). Remote. Sens., 14 (23): 6091 (December 2022)Vanishing Curvature in Randomly Initialized Deep ReLU Networks., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 7942-7975. PMLR, (2022)Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5361-5370. PMLR, (2020)Webis-Debate-16., , , , and . (January 2016)Equivariant Flows: sampling configurations for multi-body systems with symmetric energies, , and . (2019)cite arxiv:1910.00753.Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series., , , and . Remote. Sens., 14 (18): 4461 (2022)