A new model for multi-commodity macroscopic modeling of complex traffic networks. - Matthew A. Wright; Gabriel B. Gomes; Roberto Horowitz; Alex A. Kurzhanskiy (CoRR, 2015)

On node and route choice models for high-dimensional road networks. - Matthew A. Wright; Gabriel B. Gomes; Roberto Horowitz; Alex A. Kurzhanskiy (CoRR, 2016)

Macroscopic Modeling of Managed Lane-Freeway Networks. - Matthew A. Wright; Gabriel B. Gomes; Roberto Horowitz; Alex A. Kurzhanskiy (CoRR, 2016)

An Internet of Lying Things: Probabilistic fault detection of nonverifiable sensors. - Matthew A. Wright; Roberto Horowitz (CoRR, 2016)

A dynamic system characterization of road network node models. - Matthew A. Wright; Roberto Horowitz; Alex A. Kurzhanskiy (CoRR, 2016)

Fusing Loop and GPS Probe Measurements to Estimate Freeway Density. - Matthew A. Wright; Roberto Horowitz (IEEE Trans. Intell. Transp. Syst., 2016)

Particle-filter-enabled real-time sensor fault detection without a model of faults. - Matthew A. Wright; Roberto Horowitz (CDC, 2017)

Generic second-order macroscopic traffic node model for general multi-input multi-output road junctions via a dynamic system approach. - Matthew A. Wright; Roberto Horowitz (CoRR, 2017)

A Dynamic-system-based Approach to Modeling Driver Movements Across General-purpose/Managed Lane Interfaces. - Matthew A. Wright; Roberto Horowitz; Alex A. Kurzhanskiy (CoRR, 2018)

Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs. - Matthew A. Wright; Simon F. G. Ehlers; Roberto Horowitz (ITSC, 2019)

Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning. - Matthew A. Wright; Roberto Horowitz (CoRR, 2019)

Macroscopic Modeling, Calibration, and Simulation of Managed Lane-Freeway Networks, Part II: Network-scale Calibration and Case Studies. - Matthew A. Wright; Roberto Horowitz; Alex A. Kurzhanskiy (CoRR, 2019)

A Framework for Robust Assimilation of Potentially Malign Third-Party Data, and Its Statistical Meaning. - Matthew A. Wright; Roberto Horowitz (IEEE Intell. Transp. Syst. Mag., 2020)

Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles. - Ionel Gog; Sukrit Kalra; Peter Schafhalter; Matthew A. Wright; Joseph E. Gonzalez; Ion Stoica (ICRA, 2021)

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. - Nicholas Rhinehart; Jeff He; Charles Packer; Matthew A. Wright; Rowan McAllister; Joseph E. Gonzalez; Sergey Levine (ICRA, 2021)

Representing Long-Range Context for Graph Neural Networks with Global Attention. - Zhanghao Wu; Paras Jain 001; Matthew A. Wright; Azalia Mirhoseini; Joseph E. Gonzalez; Ion Stoica (NeurIPS, 2021)

Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines. - Matthew A. Wright; Joseph E. Gonzalez (CoRR, 2021)

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. - Charles Packer; Nicholas Rhinehart; Rowan Thomas McAllister; Matthew A. Wright; Xin Wang 066; Jeff He; Sergey Levine; Joseph E. Gonzalez (CoRL, 2022)

BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes. - Thomas L. Athey; Matthew A. Wright; Marija Pavlovic; Vikram Chandrashekhar; Karl Deisseroth; Michael I. Miller; Joshua T. Vogelstein (Neuroinformatics, 2023)