Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...
Abstract: In this article, we consider the analysis and control of continuous-time nonlinear systems to ensure universal shifted stability and performance, i.e., stability and performance w.r.t. each ...
Physical systems become inherently more complicated and difficult to produce in a lab as the number of dimensions they exist ...
Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Official implementation of the paper $\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation. **Abstract**: *Current video-language models ...
1 School of Microelectronics, Tianjin University, Tianjin, China 2 School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China Introduction: Atmospheric ...
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