Probes are small networks that predict properties of underlying data fro...
Google Maps uses current and historical traffic trends to provide routes...
Metropolitan scale vehicular traffic modeling is used by a variety of pr...
Recent studies have indicated that Graph Convolutional Networks (GCNs) a...
Adversarial robustness corresponds to the susceptibility of deep neural
...
Work in information retrieval has largely been centered around ranking a...
Large generative language models such as GPT-2 are well-known for their
...
We present BusTr, a machine-learned model for translating road traffic
f...
Work in information retrieval has traditionally focused on ranking and
r...
This paper seeks to develop a deeper understanding of the fundamental
pr...
We propose improving the privacy properties of a dataset by publishing o...
We introduce LAMP: the Linear Additive Markov Process. Transitions in LA...
In this paper we study the implications for conference program committee...
In this paper we propose and investigate a novel end-to-end method for
a...