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Carl Leake
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Journal Articles
- 2024
- [j7]Tiago Stegun Vaquero, Guglielmo Daddi
, Rohan Thakker, Michael Paton, A. Jasour, Marlin P. Strub
, R. Michael Swan
, Rob Royce, Matthew Gildner
, L. Phillipe Tosi, Marcel Veismann, Peter V. Gavrilov
, Eloise Marteau, Joseph Bowkett
, Daniel Loret de Mola Lemus, Yashwanth Kumar Nakka, Benjamin Hockman
, Andrew L. Orekhov
, Tristan Hasseler, Carl Leake
, Benjamin Nuernberger
, Pedro Proença, William Reid
, William Talbot
, Nikola Georgiev, Torkom Pailevanian, Avak Archanian, Eric Ambrose, Jay Jasper
, Rachel Etheredge, Christiahn Roman, Dan Levine
, Kyohei Otsu
, Sarah Yearicks, Hovhannes Melikyan, Richard Rieber, Kalind C. Carpenter
, Jeremy Nash
, Abhinandan Jain, Lori Shiraishi, Matthew Robinson
, Matthew J. Travers, Howie Choset
, Joel W. Burdick
, Alex S. Gardner
, M. Cable
, Michel D. Ingham, Masahiro Ono:
EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration. Sci. Robotics 9(88) (2024) - 2021
- [j6]Enrico Schiassi
, Roberto Furfaro
, Carl Leake, Mario De Florio
, Hunter Johnston, Daniele Mortari:
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations. Neurocomputing 457: 334-356 (2021) - 2020
- [j5]David Arnas
, Carl Leake
, Daniele Mortari
:
The n-dimensional k-vector and its application to orthogonal range searching. Appl. Math. Comput. 372 (2020) - [j4]Carl Leake
, Daniele Mortari
:
Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations. Mach. Learn. Knowl. Extr. 2(1): 37-55 (2020) - [j3]Carl Leake
, David Arnas
, Daniele Mortari
:
Non-Dimensional Star-Identification. Sensors 20(9): 2697 (2020) - 2019
- [j2]David Arnas
, Carl Leake
, Daniele Mortari
:
Random Sampling Using $k$k-Vector. Comput. Sci. Eng. 21(1): 94-107 (2019) - [j1]Carl Leake
, Hunter Johnston
, Lidia Smith, Daniele Mortari
:
Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections. Mach. Learn. Knowl. Extr. 1(4): 1058-1083 (2019)
Conference and Workshop Papers
- 2023
- [c1]Rohan Thakker, Michael Paton, Marlin P. Strub, R. Michael Swan, Guglielmo Daddi, Rob Royce, L. Phillipe Tosi, Matthew Gildner, Tiago Vaquero, Marcel Veismann, Peter V. Gavrilov, Eloise Marteau, Joseph Bowkett, Daniel Loret de Mola Lemus, Yashwanth Kumar Nakka, Benjamin Hockman, Andrew L. Orekhov, Tristan Hasseler, Carl Leake, Benjamin Nuernberger, Pedro Proença, William Reid, William Talbot, Nikola Georgiev, Torkom Pailevanian, Avak Archanian, Eric Ambrose, Jay Jasper, Rachel Etheredge, Christiahn Roman, Dan Levine, Kyohei Otsu, Hovhannes Melikyan, Jeremy Nash, Richard Rieber, Kalind C. Carpenter, Abhinandan Jain, Lori Shiraishi, Daniel Pastor, Sarah Yearicks, Michel D. Ingham, Matthew Robinson, Ali Agha, Matthew J. Travers, Howie Choset, Joel Burdick, Masahiro Ono:
EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures. IROS 2023: 9886-9893
Informal and Other Publications
- 2020
- [i9]Hunter Johnston, Carl Leake, Daniele Mortari:
Least-squares Solutions of Eighth-order Boundary Value Problems using the Theory of Functional Connections. CoRR abs/2002.05113 (2020) - [i8]Carl Leake, David Arnas, Daniele Mortari:
Non-dimensional Star-Identification. CoRR abs/2003.13736 (2020) - [i7]David Arnas, Carl Leake, Daniele Mortari:
The n-dimensional k-vector and its application to orthogonal range searching. CoRR abs/2004.02335 (2020) - [i6]David Arnas, Carl Leake, Daniele Mortari:
Random Sampling using k-vector. CoRR abs/2004.02339 (2020) - [i5]Enrico Schiassi, Carl Leake, Mario De Florio
, Hunter Johnston, Roberto Furfaro, Daniele Mortari:
Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations. CoRR abs/2005.10632 (2020) - [i4]Carl Leake, Hunter Johnston, Daniele Mortari:
The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations. CoRR abs/2007.04170 (2020) - [i3]Jeff Delaune, Jacob Izraelevitz, Larry A. Young, William Rapin, Evgeniy Sklyanskiy, Wayne Johnson, Aaron Schutte, Abigail Fraeman, Valerie Scott, Carl Leake, Erik Ballesteros, Shannah Withrow, Raghav Bhagwat, Haley Cummings, Kim Aaron, Marcel Veismann, Skylar Wei, Regina Lee, Luis Pabon Madrid, Morteza Gharib, Joel Burdick:
Motivations and Preliminary Design for Mid-Air Deployment of a Science Rotorcraft on Mars. CoRR abs/2010.06630 (2020) - 2018
- [i2]Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari:
Theory of Connections Applied to Support Vector Machines to Solve Differential Equations. CoRR abs/1812.05571 (2018) - [i1]Carl Leake
:
Deep ToC: A New Method for Estimating the Solutions of PDEs. CoRR abs/1812.08625 (2018)
Coauthor Index
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