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1
Discovering and forecasting extreme events via active learning in neural operators
Published 2024Get full text
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2
Bayesian neural network language modeling for speech recognition
Published 2023“…In particular, on the LRS2 data, statistically significant WER reductions up to 1.3% and 1.2% absolute (12.1% and 11.3% relative) were obtained over the baseline LSTM-RNN and Transformer LMs respectively after model combination between Bayesian NNLMs and their respective baselines.…”
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Journal Article -
3
Probabilistic Programming with Programmable Variational Inference
Published 2024“…Compared to the wide array of advanced Monte Carlo methods supported by modern probabilistic programming languages (PPLs), PPL support for variational inference (VI) is underdeveloped: users are typically limited to a small selection of predefined variational objectives and gradient estimators, which are implemented monolithically (and without explicit correctness arguments) in PPL backends. …”
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Article