8 accepted papers
Discovering governing differential equations from observational data is a fundamental challenge in scientific machine learning. Existing symbolic regression approaches rely primarily on quantitative metrics; however, real-world differential equation modeling also requires incorporating domain knowle…
Deep learning methods based on backward stochastic differential equations (BSDEs) have emerged as competitive alternatives to physics-informed neural networks (PINNs) for solving high-dimensional partial differential equations (PDEs). By leveraging probabilistic representations, BSDE approaches can …
Maximum Inner Product Search (MIPS) is a ubiquitous task in machine learning applications. Given a query vector and $n$ other vectors in $d$ dimensions, the MIPS problem is to find the atom that has the highest inner product with the query vector. Existing MIPS algorithms scale at least as $O(\sqrt{…
Neural networks have shown great predictive power when applied to unstructured data such as images and natural languages. The Bayesian neural network captures the uncertainty of prediction by computing the posterior distribution of the model parameters. In this paper, we show that the Bayesian neura…
Random forests are some of the most widely used machine learning models today, especially in domains that necessitate interpretability. We present an algorithm that accelerates the training of random forests and other popular tree-based learning methods. At the core of our algorithm is a novel node-…
This study proposes a novel 7-DOF robotic manipulator called CoSMo-Arm for high torque density multi-link robotic platform based on a concentrically stacked modular actuator (CoSMoA) and an extended coaxial spherical joint module (E-CoSMo) introduced in previous researches. The CoSMoA is an actuator…
In this study, a novel four degrees of freedom (DoF) robotic link mechanism and its torque analysis based on extended coaxial spherical joint module (E-CoSMo) are introduced. The E-CoSMo is a previously developed 4-DoF point-centered rotational parallel mechanism with coaxial actuators. The use of t…
In this study, we propose an extended coaxial spherical joint module (E-CoSMo) with three to four degrees of freedom (DOFs) for a multi-DOF robot platform. The E-CoSMo consists of a coaxial spherical parallel mechanism (CSPM) with three DOFs and one extended DOF based on a universal joint mechanism…