22 citations · 32 across the 10 of their papers we have counts for
10 papers
Encoding Agent Trajectories as Representations with Sequence Transformers
Athanasios Tsiligkaridis, Nicholas Kalinowski, Zhongheng Li +1
Spatiotemporal data faces many analogous challenges to natural language text including the ordering of locations (words) in a sequence, long range dependencies between locations, a…
Machine Learning Models for Improved Tracking from Range-Doppler Map Images
Elizabeth Hou, Ross Greenwood, Piyush Kumar
Statistical tracking filters depend on accurate target measurements and uncertainty estimates for good tracking performance. In this work, we propose novel machine learning models…
Decoding Layer Saliency in Language Transformers
Elizabeth M. Hou, Gregory Castanon
In this paper, we introduce a strategy for identifying textual saliency in large-scale language models applied to classification tasks. In visual networks where saliency is more we…
Hierarchical Entity Alignment for Attribute-Rich Event-Driven Graphs
Elizabeth Hou, Joanna Brown, John Fisher
This paper addresses the problem of entity alignment in attribute-rich event-driven graphs. Unlike many other entity alignment problems, we are interested in aligning entities base…
Anomaly Detection in Partially Observed Traffic Networks
Elizabeth Hou, Yasin Yilmaz, Alfred Hero
This paper addresses the problem of detecting anomalous activity in traffic networks where the network is not directly observed. Given knowledge of what the node-to-node traffic in…
Sequential Maximum Margin Classifiers for Partially Labeled Data
Elizabeth Hou, Alfred O. Hero
In many real-world applications, data is not collected as one batch, but sequentially over time, and often it is not possible or desirable to wait until the data is completely gath…