By combining the strengths of neural networks and mixture models, MDNs enable more accurate and reliable predictions for complex real-world applications, as demonstrated in the examples of inverse problems and robot kinematics. Installation git clone https://github.com/pandego/mdn-playground.gitcdmdn...
这就构成了混合密度网络(mixture density network)。对于任意给定的$$ x $$值,混合模型提供了一个通用的形式,用来对任意条件概率密度函数$$ p(t|x) $$进行建模。假设我们考虑一个足够灵活的网络,那么我们就有了一个近似任意条件概率分布的框架。 这里,我们显式地令模型的分量为高斯分布,即 $$ p...
SMD-Nets: Stereo Mixture Density Networks Fabio Tosi1∗ Yiyi Liao2 Carolin Schmitt2 Andreas Geiger2 1Department of Computer Science and Engineering (DISI), University of Bologna 2 Autonomous Vision Group, MPI-IS / University of Tu¨bingen 1{fabio.tosi5}@unibo.it 2{firstname.lastname}@tue...
Mixture Density Generative Adversarial Networks Hamid Eghbal-zadeh1 Werner Zellinger2,3 Gerhard Widmer1 1 LIT AI Lab & Institute of Computational Perception, Johannes Kepler University Linz 2 Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz 3 Software Compenetce ...
Code for training, validation, and visualization, along with pre-trained models is available athttps://github.com/VLOGroup/PoGMDM. This paper is organized as follows: In Sect.2, we give background information on diffusion and how it can be used for parameter estimation of learned densities. ...
Our model is evaluated on the OSIE and MIT low resolution eye-tracking datasets and experimental results indicate that the proposed method can achieve superior performance in predicting visual scanpaths. The code will be publicly available on URL: https://github.com/sunwj/scanpath. 展开 ...
The code used in the experiments is made publicly available online on GitHub.Meconcelli, DuccioUniversità di SienaTrentin, EdmondoUniversità di SienaSpringer, ChamIAPR Workshop on Artificial Neural Networks in Pattern Recognition
We select 396 species-subregion (SSR) subsets of eBird across gradients of space, checklist density, and species abundance. Within each SSR, we use only eBird checklists from stationary sampling locations (i.e. checklists obtained from a single spatial point) to have the highest chance of ...
@misc{MDNABrandoMasterThesis, title={Mixture Density Networks (MDN) for distribution and uncertainty estimation}, url={https://github.com/axelbrando/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation/blob/master/ABrando-MDN-MasterThesis.pdf}, note={Report of the Master's Thesis: ...
Explore Topics Trending Collections Events GitHub Sponsors # mixture Star Here are 24 public repositories matching this topic... Language: All Sort: Most stars axelbrando / Mixture-Density-Networks-for-distribution-and-uncertainty-estimation Star 338 Code Issues Pull requests A generic Mixture ...