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2020 – today
- 2023
[j6]Matt Haberland
:
Fast Resampling and Monte Carlo Methods in Python. J. Open Source Softw. 8(86): 5092 (2023)- [j5]Pamphile T. Roy, Art B. Owen, Maximilian Balandat, Matt Haberland:
Quasi-Monte Carlo Methods in Python. J. Open Source Softw. 8(87): 5309 (2023) - [j4]Katy Craig, Karthik Elamvazhuthi, Matt Haberland, Olga Turanova:
A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling. Math. Comput. 92(344): 2575-2654 (2023) - 2022
- [j3]Dominic Chmiel, Samuel Wallan, Matt Haberland:
'tukey_hsd': An Accurate Implementation of the Tukey Honestly Significant Difference Test in Python. J. Open Source Softw. 7(75): 4383 (2022) - [i3]Katy Craig, Karthik Elamvazhuthi, Matt Haberland, Olga Turanova:
A blob method method for inhomogeneous diffusion with applications to multi-agent control and sampling. CoRR abs/2202.12927 (2022)
2010 – 2019
- 2019
- [c8]Yiling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi:
Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. Image Processing: Algorithms and Systems 2019 - [i2]Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi:
Quantifying Robotic Swarm Coverage. CoRR abs/1905.07655 (2019) - [i1]Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors:
SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python. CoRR abs/1907.10121 (2019) - 2018
- [c7]Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi:
Quantitative Assessment of Robotic Swarm Coverage. ICINCO (2) 2018: 101-111 - [c6]Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi:
Quantifying Robotic Swarm Coverage. ICINCO (Selected Papers) 2018: 276-301 - [c5]Jeffrey Yu, Dennis W. Hong, Matt Haberland:
Energetic Efficiency of a Compositional Controller on a Monoped With an Articulated Leg and SLIP Dynamics. IROS 2018: 2221-2228 - 2017
- [c4]Hanjun Li, Chunhan Feng, Henry Ehrhard, Yijun Shen, Bernardo Cobos, Fangbo Zhang, Karthik Elamvazhuthi, Spring Berman, Matt Haberland, Andrea L. Bertozzi:
Decentralized stochastic control of robotic swarm density: Theory, simulation, and experiment. IROS 2017: 4341-4347 - 2016
- [j2]Sean Wilson, Ruben Gameros, Michael Sheely, Matthew Lin, Kathryn Dover, Robert Gevorkyan, Matt Haberland, Andrea L. Bertozzi, Spring Berman:
Pheeno, A Versatile Swarm Robotic Research and Education Platform. IEEE Robotics Autom. Lett. 1(2): 884-891 (2016) - 2015
- [j1]J. G. Daniël Karssen, Matt Haberland, Martijn Wisse, Sangbae Kim:
The effects of swing-leg retraction on running performance: analysis, simulation, and experiment. Robotica 33(10): 2137-2155 (2015) - 2012
- [c3]Randall Briggs, Jongwoo Lee, Matt Haberland, Sangbae Kim:
Tails in biomimetic design: Analysis, simulation, and experiment. IROS 2012: 1473-1480 - 2011
- [c2]J. G. Daniël Karssen, Matt Haberland, Martijn Wisse, Sangbae Kim:
The optimal swing-leg retraction rate for running. ICRA 2011: 4000-4006 - [c1]Matt Haberland, J. G. Daniël Karssen, Sangbae Kim, Martijn Wisse:
The effect of swing leg retraction on running energy efficiency. IROS 2011: 3957-3962
Coauthor Index
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