1 citations · 3 across the 9 of their papers we have counts for
12 papers
Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network Training
Shilong Zong, Almuatazbellah Boker, Hoda Eldardiry
Multivariate time-series data often exhibit complex temporal dependencies, irregular sampling, and heterogeneous dynamics across multiple time scales, making accurate sequence mode…
Alleviating Community Fear in Disasters via Multi-Agent Actor-Critic Reinforcement Learning
Yashodhan D. Hakke, Almuatazbellah M. Boker, Lamine Mili +2
During disasters, cascading failures across power grids, communication networks, and social behavior amplify community fear and undermine cooperation. Existing cyber-physical-socia…
A Multi-directional Meta-Learning Framework for Class-Generalizable Anomaly Detection
Padmaksha Roy, Lamine Mili, Almuatazbellah Boker
In this paper, we address the problem of class-generalizable anomaly detection, where the objective is to develop a unified model by focusing our learning on the available normal d…
Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks
Shilong Zong, Alex Bierly, Almuatazbellah Boker +1
This review aims to conduct a comparative analysis of liquid neural networks (LNNs) and traditional recurrent neural networks (RNNs) and their variants, such as long short-term mem…
Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection
Padmaksha Roy, Almuatazbellah Boker, Lamine Mili
In this paper, we aim to improve multivariate anomaly detection (AD) by modeling the \textit{time-varying non-linear spatio-temporal correlations} found in multivariate time series…
In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation
Vasanth Reddy Baddam, Behdad Chalaki, Vaishnav Tadiparthi +4
In social robot navigation, traditional metrics like proxemics and behavior naturalness emphasize human comfort and adherence to social norms but often fail to capture an agent's a…