Modern RNNs do not optimally capture predictive information in sequences. CEB Improves Model Robustness Ī class conditional version of VIB shows good robustness.While they seem complex, infinite ensembles of infinitely-wide networks are simple enough to enable tractable calculations of many information theoretic quantities. Information in Infinite Ensembles of Infinitely-Wide Networks.Most modern inference procedures can be rederived as a simple variational bound on a predictive information bottleneck objective. Variational Predictive Information Bottleneck.Simple to use python package for training infinitely wide neural networks. R Novak, L Xiao, J Hron, J Lee, AA Alemi, J Sohl-Dickstein, SS Schoenholz Neural Tangents: Fast and Easy Infinite Neural Networks in Python.The OpenKIM Processing Pipeline: A Cloud-Based Automatic Materials Property Computation Engine ĭS Karls, M Bierbaum, AA Alemi, RS Elliot, JP Sethna, EB Tadmor.Simple density-of-states inspired out of distribution detection. WR Morningstar, C Ham, AG Gallagher, B Lakshminarayanan, AA Alemi, JV Dillon Density of States Estimation for Out-of-Distribution Detection.Multisample bound that does better than Bayes at prediction for misspecified models.
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