pyMLIR is a full Python interface to parse, process, and output MLIR files according to the syntax described in the MLIR documentation. pyMLIR supports the basic dialects and can be extended with ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Security policy: organization have complex infrastructure and need common tooling to reason about the system as a whole Protocols: expressions are a useful data type and require interoperability ...

Abstract: Class-incremental learning (CIL) aims to preserve the knowledge of former classes during the updating process of category information. Existing CIL methods often employ a singular exemplar ...