Matthew A. Wright

According to our database, Matthew A. Wright authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, October, 2023

2022

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty.

Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez

Proceedings of the Conference on Robot Learning, 2022

2021

Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines.

Matthew A. Wright, Joseph E. Gonzalez

CoRR, 2021

Representing Long-Range Context for Graph Neural Networks with Global Attention.

Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

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

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

Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning.

Matthew A. Wright, Roberto Horowitz

CoRR, 2019

Neural-Attention-Based Deep Learning Architectures for Modeling Traffic Dynamics on Lane Graphs.

Matthew A. Wright, Simon F. G. Ehlers, Roberto Horowitz

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

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

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

Particle-filter-enabled real-time sensor fault detection without a model of faults.

Matthew A. Wright, Roberto Horowitz

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Fusing Loop and GPS Probe Measurements to Estimate Freeway Density.

Matthew A. Wright, Roberto Horowitz

IEEE Trans. Intell. Transp. Syst., 2016

A dynamic system characterization of road network node models.

Matthew A. Wright, 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

Macroscopic Modeling of Managed Lane-Freeway Networks.

Matthew A. Wright, Gabriel B. Gomes, Roberto Horowitz, Alex A. Kurzhanskiy

CoRR, 2016

On node and route choice models for high-dimensional road networks.

Matthew A. Wright, Gabriel B. Gomes, Roberto Horowitz, Alex A. Kurzhanskiy

CoRR, 2016

2015

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