Particularly, the optimum error criterion can be interpreted via the meanings of entropy and KL-divergence. Furthermore, a novel approach is proposed for the choice of p-power error criteria, in which a KL-divergence based cost is minimized. The proposed method is verified by Monte Carlo ...
To self-optimize the clustering task, scAGDE incorporates the sequential clustering optimization (Fig.1c). The first optimization uses KL divergence to align clustering assignments with an auxiliary target distribution, both derived from the cell embeddings. Here, the assignments act as soft labels th...
This choice of Bernoulli distribution aligns with the binary nature of chromatin site accessibility. To self-optimize the clustering task, scAGDE incorporates the sequential clustering optimization (Fig. 1c). The first optimization uses KL divergence to align clustering assignments with an auxiliary ...
If one computes the change in the divergence of J due to the addition of the infinitesimal JT¯ term to the Lagrangian using conformal perturbation theory, one finds3 δµ ∂¯J = ∂¯ d2wJ (z)J (w) az¯(w) = − k 4π ∂ az¯ . (2.15) Thus, it appears that ...
The similar method of “distillation” was developed, transferring the knowledge in complex models into simpler ones [25], and there were many different types of compression methods, such as using the KL-divergence between output distributions of small and large networks [26], using the gradient ...
The advent and use of highly sensitive molecular biology techniques to explore the microbiota and microbiome in environmental and tissue samples have detected the presence of contaminating microbial DNA within reagents. These microbial DNA contaminants may distort taxonomic distributions and relative frequencie...
319,Automatic Adaptation of Object Detectors to New Domains Using Self-Training,https://github.com/AruniRC/detectron-self-train,,http://vis-www.cs.umass.edu/self-train/,,,Tuesday,Poster 1.1,55,Aruni RoyChowdhury,"Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu...
Finally, we demonstrated that such a thermodynamic treatment is not applicable to information flow, a measure of causal effect. Keywords: transfer entropy; information transfer; entropy production; irreversibility; Kullback–Leibler divergence; thermodynamic equilibrium; Boltzmann’s principle; causal effect ...
After fine-tuning the hyperparameters, the final loss values, calculated as the sum of similarity loss and KL Divergence, decreased from 71.43 to 13.48 for dataset 1, from 34.97 to 12.65 for dataset 2, and from 53.12 to 9.46 for dataset 3. 4. Results This section provides experimental ...
319,Automatic Adaptation of Object Detectors to New Domains Using Self-Training,https://github.com/AruniRC/detectron-self-train,,http://vis-www.cs.umass.edu/self-train/,,,Tuesday,Poster 1.1,55,Aruni RoyChowdhury,"Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu...