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https://ubc-vision.github.io/3dgs-mcmc/
This paper introduced a new conceptual model for how to view the process of gaussian splat optimization and then used that to guide several improvements to t…
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https://ubc-vision.github.io/3dgs-mcmc/
This paper introduced a new conceptual model for how to view the process of gaussian splat optimization and then used that to guide several changes to the or…
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#### Description
I have been using the `uncertainties` package for uncertainty propagation calculations and noticed that it currently only supports symmetric uncertainties. While values expressed a…
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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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It would be awesome if Markov Chain Monte Carlo is supported. PostShot just added support and the results are MUCH better. I actually tried loading MCMC ply file inside SuperSplat but it doesn't reall…
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### Name
Vivek Srikrishnan
### Email
vs498@cornell.edu
### Institution
Cornell University
### Referral
I'm a coauthor!
### Topic Area
Uncertainty Quantification
### Description
Tutorial not…
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The way in which training circuits are generated for the CDR technique is mentioned in the original paper in which CDR was introduced [Czarnik et al. arXiv:2005.10189]( https://arxiv.org/abs/2005.1018…
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Found this case while using the new `read_glossary()` function. Here's the example case:
The glossary.tex file contains definitions for `ng` and `MCMC`. It does NOT have definitions for `n` or `MC`…
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[PyMC](https://www.pymc.io/welcome.html) is a python library that tries to fit bayesian models with Markov Chain Monte Carlo. BARN essentially fits that mold, so it would be instructive and potential…
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Learn L (number of intervals) and each quantile point of unknown distribution function F.
## [code](https://colab.research.google.com/drive/1BwXO_MlslMqY4wBHrXppAb42BBP37r8H?usp=sharing)
## ref
[Qu…