activity
20222024
most citedThe fragile nature of road transportation networks

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Variable Selection for Comparing High-dimensional Time-Series Data

Kensuke Mitsuzawa, Margherita Grossi, Stefano Bortoli +1

Given a pair of multivariate time-series data of the same length and dimensions, an approach is proposed to select variables and time intervals where the two series are significant…

eess.SY2024★ 1 cited

Antifragile perimeter control: Thriving on disruptions through reinforcement learning

Linghang Sun, Michail A. Makridis, Alexander Genser +3

The optimal operation of transportation systems is often susceptible to unexpected disruptions. Many established control strategies reliant on mathematical models can struggle with…

eess.SY2024★ 2 cited

The fragile nature of road transportation networks

Linghang Sun, Yifan Zhang, Cristian Axenie +3

Major cities worldwide experience problems with the performance of their road transportation networks, and the continuous increase in traffic demand presents a substantial challeng…

stat.ML2023

Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison

Kensuke Mitsuzawa, Motonobu Kanagawa, Stefano Bortoli +2

We study two-sample variable selection: identifying variables that discriminate between the distributions of two sets of data vectors. Such variables help scientists understand the…

eess.SY2022★ 2 cited

Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics

Cristian Axenie, Margherita Grossi

Existing traffic control systems only possess a local perspective over the multiple scales of traffic evolution, namely the intersection level, the corridor level, and the region l…