no code implementations • 6 Jun 2022 • Manu Aggarwal, Vipul Periwal
Here, we provide a strategy and algorithms to compute tight representative boundaries around nontrivial robust features in large data sets.
1 code implementation • 9 Mar 2021 • Manu Aggarwal, Vipul Periwal
We present Dory, an efficient and scalable algorithm that can compute the persistent homology of large data sets.
no code implementations • 28 Jan 2021 • Sangwon Lee, Vipul Periwal, Junghyo Jo
At the initial iteration of the EM algorithm, the model inference shows better model-data consistency with observed data points than with missing data points.
no code implementations • 10 Sep 2019 • Junghyo Jo, Danh-Tai Hoang, Vipul Periwal
Maximum Likelihood Estimation (MLE) is the bread and butter of system inference for stochastic systems.
2 code implementations • 14 Jan 2019 • Danh-Tai Hoang, Junghyo Jo, Vipul Periwal
Finally, an important hidden variable problem is to find the number of clusters in a dataset.
Data Analysis, Statistics and Probability Physics and Society
2 code implementations • 18 May 2017 • Danh-Tai Hoang, Juyong Song, Vipul Periwal, Junghyo Jo
We introduce a data-driven statistical physics approach to model inference based on minimizing a free energy of data and show superior model recovery for small sample sizes.
Data Analysis, Statistics and Probability Quantitative Methods