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ORCIDMatthew Brown
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Matthew Brown 0001
![[0009-0004-9749-7363]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0004-9749-7363")
— Wayve Technologies (and 3 more) - Matthew Brown 0002 — University of Southern California, Los Angeles, CA, USA
- Matthew Brown 0003 — University of Oxford, UK (and 1 more)
- Matthew Brown 0004 — Stanford University, Department of Mechanical Engineering, CA, USA
- Matthew Brown 0005 — Massachusetts Institute of Technology, MIT Computer Science and Artificial Intelligence Lab., Cambridge, MA, USA
- Matthew Brown 0006 — Google, Inc.
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2020 – today
- 2025
[j3]Matthew Brown, Alan L. Leigh Jarvis, Andrew Swanson:
Comparative Analysis of Lithium-Ion Batteries and Liquid Air Energy Storage Systems for Grid Use. IEEE Access 13: 94611-94631 (2025)- [i4]Samuel Li, Pujith Kachana, Prajwal Chidananda, Saurabh Nair, Yasutaka Furukawa, Matthew Brown:
Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction. CoRR abs/2506.02265 (2025) - 2022
- [j2]Fahad Ali Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo J. Ferrero, Laetitia V. Monnier, Matthew Brown:
STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing. J. Comput. Inf. Sci. Eng. 22(1) (2022) - 2020
- [c6]Matthew Brown, Carlos E. Saavedra:
Frequency-Tunable Quasi-Elliptic Filter Using Liquid Metal. APCCAS 2020: 110-113 - [i3]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. CoRR abs/2003.05654 (2020)
2010 – 2019
- 2019
- [c5]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. NeurIPS (Competition and Demos) 2019: 177-191 - 2018
- [c4]Matthew Brown, Ian Goode, Carlos E. Saavedra:
Lumped-Element Circuit Modelling of Microfluidic Channels in Microstrip Transmission Lines. NEWCAS 2018: 31-34 - [i2]Bilwaj Gaonkar, Alex A. T. Bui, Matthew Brown, Luke Macyszyn:
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan? CoRR abs/1810.01621 (2018) - 2017
- [i1]Aditya Gudimella, Ross Story, Matineh Shaker, Ruofan Kong, Matthew Brown, Victor Shnayder, Marcos Campos:
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks. CoRR abs/1709.06977 (2017) - 2013
- [c3]Evan Chang-Siu, Thomas Libby, Matthew Brown, Robert J. Full, Masayoshi Tomizuka:
A nonlinear feedback controller for aerial self-righting by a tailed robot. ICRA 2013: 32-39 - 2010
- [c2]Simon Buckingham Shum, Maarten Sierhuis, Jack Park, Matthew Brown:
Software Agents in Support of Human Argument Mapping. COMMA 2010: 123-134 - [c1]Heather Toomey Zimmerman, David E. Kanter, Kirsten Ellenbogen, Leilah Lyons, Steven J. Zuiker, Tom Satwicz, Sandra Toro Martell, Matthew Brown, Sherry Hsi, Brian K. Smith, Molly Phipps, Robert Jordan, Jennifer L. Weible, Chris Gamrat, Ben Loh, Joyce Ma:
Technologies and tools to support informal science learning. ICLS 2010: 260-266
2000 – 2009
- 2006
- [j1]Matthew Brown, Margot Gerritsen:
An Energy-Stable High-Order Central Difference Scheme for the Two-Dimensional Shallow Water Equations. J. Sci. Comput. 28(1): 1-30 (2006)
Coauthor Index
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