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Consider the following resources for machine learning, probability, and classic AI
## tagged machine learning
[Wheel/Rail Adhesion State Identification of Heavy-Haul Locomotive Based on Particle…
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Hi I read your paper _Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation_, and really want to try TIRT on my dataset, but I can't find the code in th…
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Hi
I am a research assistant and I have been working on deep bayesian active learning for the past few weeks. I have been using pytorch and custom active learning classes so far, and i just found o…
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Hi, I was reading your two papers about critical nodes identification. It seems that this repo contains many folders and it is a bit hard to find code in these two papers. Does 'src_bgnn' mean Bayesia…
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https://doi.org/10.1101/104869
> Advancements in sequencing technologies have highlighted the role of alternative splicing (AS) in increasing transcriptome complexity. This role of AS, combined wit…
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Maximizing the expected log posterior density (ELPD) is a common objective function in Bayesian inference and Bayesian neural networks, and I'd be interested in having it as a loss function for a pack…
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This is really an exploratory question about implementing a Bayesian layer in Equinox. My research requires Bayesian neural networks, and I've been playing with Equinox to see how it stacks up to Flax…
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Hi,
I'm working on a master's thesis where we want to sample the exact posterior of a bayesian neural network using HMC and the No-U-Turn sampler in regression tasks. The current code implementati…
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I am trying to train the following Bayesian CNN model, which contains several Bayesian convolution and dense layers. The inputs are images with shape `(64, 80, 3)` and the outputs are normal distribut…
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I'm currently working with GPyOpt to optimize hyperparameters of a neural network with Bayesian Optimization.
I just came to the idea, that you could define the bounds in a way, that you hand over hy…