[Re] Tensor Monte Carlo: Particle Methods for the GPU Era
A replication of tensor Monte Carlo particle methods, with TensorFlow identified in source keywords.
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A replication of tensor Monte Carlo particle methods, with TensorFlow identified in source keywords.
A replication about Bayesian filtering with nonlinear, non-Gaussian observations using a discriminative Kalman filter.
A replication concerning variational-autoencoder approximation error, the ELBO and exponential-family models.
A replication of variational sparse coding, linking latent-variable inference with sparse representations.
An R reproduction report about Bayesian identification of essential genes from mutagenesis data.
Marine morphometrics for studying relationships between body measurements and growth indicators.
A documented artificial maintenance dataset for testing rare-failure evaluation and shortcut learning.
Air-quality sensor readings and reference measurements for investigating calibration over time.
Aeroacoustic measurements for examining nonlinear physical response prediction.
Date-fruit measurements for comparing interpretable agricultural variety classifiers.
Quartz-crystal sensor responses for studying chemical discrimination with small repeated-measurement data.
Regional weather and fire observations for examining geographic generalization in event prediction.
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