Jul 1, 2024 · In the face of information abundance, Determinantal Point Processes have emerged as a powerful mathematical framework for enhancing diversity in recommendation ...
Jul 12, 2024 · Subsample your atomistic configurations using a Determinantal Point Process (DPP) based algorithm that compares energy descriptors computed with the Atomic ...
Jul 9, 2024 · The research subjects include Dynamical Systems, Differential Equations, History of Mathematics, Hypercomplex Analysis, Kinetic Theory, Modelling, Numerical ...
Jul 2, 2024 · Methods to improve data quality and mitigate data imbalance and their applications in this domain are reviewed. This literature review focuses on two promising ...
Jul 16, 2024 · Another option is determinantal point processes [28]. There are also some hybrid methods that combine uncertainty and representation-based methods [2,3,39].
Jul 17, 2024 · ... determinantal point processes (DPPs) to efficiently determine an appropriate compression quality for currently-arrived training samples. In this way, using ...
Jul 10, 2024 · In mathematics, the determinant is a scalar-valued function of the entries of a square matrix. The determinant of a matrix A is commonly denoted det(A), ...
6 days ago · As a new user arrives, we prompt a static, short questionnaire with a carefully selected set of questions using a determinantal point process (DPP). The DPP ...
7 days ago · We model the problem of dynamically learning from a stochastic oracle as a Markov decision process (MDP), and control the stochastic gradient descent performed ...
