3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions
Rohan Giriraj, Sinnu Susan Thomas
In recent years, causal modelling has been used widely to improve generalization and to provide interpretability in machine learning models. To determine cause-effect relationships…
Make Bipedal Robots Learn How to Imitate
Vishal Kumar, Sinnu Susan Thomas
Bipedal robots do not perform well as humans since they do not learn to walk like we do. In this paper we propose a method to train a bipedal robot to perform some basic movements…
Generalized State-Feedback Controller Synthesis for Underactuated Systems through Bayesian Optimization
Miguel A. Solis, Sinnu Susan Thomas
Underactuated systems pose the challenge of being able to control a plant whose degrees of freedom are not necessarily directly linked to an actuator or where such a relationship i…
A Novel Stochastic Epidemic Model with Application to COVID-19
Edilson F. Arruda, Rodrigo e Alvim Alexandre, Marcelo D. Fragoso +2
In this paper we propose a novel SEIR stochastic epidemic model. A distinguishing feature of this new model is that it allows us to consider a set up under general latency and infe…