Blog
Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning
Feature selection aims to preprocess the target dataset, find an optimal and most streamlined feature subset, and enhance the downstream machine learning task. Among filter, wrapper, and embedded-based approaches, the reinforcement learning (RL)-based subspace exploration strategy provides a novel objective optimization-directed perspective...
On the local stability of the elapsed-time model in terms of the transmission delay and interconnection strength
The elapsed-time model describes the behavior of interconnected neurons through the time since their last spike. It is an age-structured non-linear equation in which age corresponds to the elapsed time since the last discharge, and models many interesting dynamics depending on the...
Light-driven lattice metastability for enhanced superconductivity in FeSe/SrTiO3
Driven quantum materials with on demand properties controlled by external stimuli are critical for emergent quantum technology. In optically tunable superconducting heterostructures, the lattice responses at the buried interface may hold the key to the light susceptibility but is very challenging to...
Inverse-Designed Metasurfaces for Wavefront Restoration in Under-Display Camera Systems
Under-display camera (UDC) systems enable full-screen displays in smartphones by embedding the camera beneath the display panel, eliminating the need for notches or punch holes. Tuttavia, the periodic pixel structures of display panels introduce significant optical diffraction effects, leading to imaging artifacts...
Doubly Adaptive Social Learning
In social learning, a network of agents assigns probability scores (beliefs) to some hypotheses of interest, which rule the generation of local streaming data observed by each agent. Belief formation takes place by means of an iterative two-step procedure where: io) the...
Trapping microswimmers in acoustic streaming flow
The acoustofluidic method holds great promise for manipulating microorganisms. When exposed to the steady vortex structures of acoustic streaming flow, these microorganisms exhibit intriguing dynamic behaviors, such as hydrodynamic trapping and aggregation. To uncover the mechanisms behind these behaviors, we investigate the...
Subtrajectory Clustering and Coverage Maximization in Cubic Time, or Better
Many application areas collect unstructured trajectory data. In subtrajectory clustering, one is interested to find patterns in this data using a hybrid combination of segmentation and clustering. We analyze two variants of this problem based on the well-known \textsc{SetCover} and \textsc{CoverageMaximization} problems....
Excited oscillons and charge-swapping
We show that the charge-swapping phenomenon can be understood as a real valued oscillon carrying an excitation in imaginary direction in the target space. Inoltre, we introduce a two dimensional collective model which quantitatively captures the charge swapping dynamics. Este artículo explora...
Logarithmic continuity for the Nonlocal degenerate two-phase Stefan problem
We establish certain oscillation estimates for weak solutions to nonlinear, anomalous phase transitions modeled on the nonlocal two-phase Stefan problem. The problem is singular in time, is scaling deficient and influenced by far-off effects. We study the the problem in a geometry...
Continuous coherent perfect absorption and lasing at an exceptional point of anti-parity-time symmetric photonic structures
We consider a type of hypothetical compound materials in which its refractive index in spatial distribution meet $n(-x)=-n^{*}(x)$, belonging to anti-parity-time (APT) symmetric structures. Inoltre, we demand balanced real positive- and negative- permeabilities with $\mu(-x)=-\mu(x)$. By introducing parametrization into APT symmetric transfer...




