Code for Adversarial Approximate Inference for Speech to Laryngograph Conversion
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Updated
Jan 20, 2019 - Python
Code for Adversarial Approximate Inference for Speech to Laryngograph Conversion
Official Repository for the AISTATS paper "The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies" (AISTATS 2023, https://arxiv.org/abs/2010.14860)
Multi-Failure Gaussian Process Cox Model (MFGPCox): A unified Bayesian framework for joint modeling of multi-sensor signals, failure times, and multi-mode failure prediction with uncertainty quantification.
This course is part of the USC Graduate Biostatistics Program and is designed for second-year and beyond students interested in designing and implementing computational inferential tools for research.
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