Mason Ma

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics	2025	Alisa Ren Mason Ma Jiajie Wu Jaydeep Karandikar Chris Tyler Tony Shi Tony L. Schmitz
+ PDF Chat	Compressive‐Sensing‐Assisted Mixed Integer Optimization for Dynamical System Discovery With Highly Noisy Data	2024	Tony Shi Mason Ma Hoang Tran Guannan Zhang
+ PDF Chat	AFSD-Physics: Exploring the governing equations of temperature evolution during additive friction stir deposition by a human-AI teaming approach	2024	Tony Shi Mason Ma Jiajie Wu Chase Post Elijah Charles Tony L. Schmitz
+	Integration of discrete-event dynamics and machining dynamics for machine tool: Modeling, analysis and algorithms	2023	Mason Ma Alisa Ren Christopher W. Tyler Jaydeep Karandikar Michael A. Gómez Tony Shi Tony L. Schmitz
+	A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements	2023	Mason Ma Jiajie Wu Chase Post Tony Shi Jingang Yi Tony L. Schmitz Hong Wang
+	Integration of discrete-event dynamics and machining dynamics for machine tool: modeling, analysis and algorithms	2022	Mason Ma Alisa Ren Christopher W. Tyler Jaydeep Karandikar Michael A. Gómez Tony Shi Tony L. Schmitz

Common Coauthors

Coauthor	Papers Together
Tony Shi	6
Tony L. Schmitz	5
Jaydeep Karandikar	3
Alisa Ren	3
Christopher W. Tyler	2
Michael A. Gómez	2
Chase Post	2
Chris Tyler	1
Elijah Charles	1
Jiajie Wu	1
Guannan Zhang	1
Hoang Tran	1
Jingang Yi	1
Hong Wang	1
Jiajie Wu	1
Jiajie Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	<i>SparseNet</i>: Coordinate Descent With Nonconvex Penalties	2011	Rahul Mazumder Jerome H. Friedman Trevor Hastie	1
+ PDF Chat	Numerical Differentiation of Noisy, Nonsmooth Data	2011	Rick Chartrand	1
+	Sparse Approximate Solutions to Linear Systems	1995	B. K. Natarajan	1
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	1
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+ PDF Chat	Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing	2011	Wen-Xu Wang Rui Yang Ying‐Cheng Lai Vassilios Kovanis Celso Grebogi	1
+	Discovering governing equations from data by sparse identification of nonlinear dynamical systems	2016	Steven L. Brunton Joshua L. Proctor J. Nathan Kutz	1
+ PDF Chat	Data-driven discovery of partial differential equations	2017	Samuel Rudy Steven L. Brunton Joshua L. Proctor J. Nathan Kutz	1
+ PDF Chat	Learning partial differential equations via data discovery and sparse optimization	2017	Hayden Schaeffer	1
+ PDF Chat	Machine learning of linear differential equations using Gaussian processes	2017	Maziar Raissi Paris Perdikaris George Em Karniadakis	1
+ PDF Chat	Deep learning of dynamics and signal-noise decomposition with time-stepping constraints	2019	Samuel Rudy J. Nathan Kutz Steven L. Brunton	1
+ PDF Chat	Learning data-driven discretizations for partial differential equations	2019	Yohai Bar‐Sinai Stephan Hoyer Jason Hickey Michael P. Brenner	1
+	Best subset selection via a modern optimization lens	2016	Dimitris Bertsimas Angela King Rahul Mazumder	1
+ PDF Chat	Exact Recovery of Chaotic Systems from Highly Corrupted Data	2017	Giang Tran Rachel Ward	1
+ PDF Chat	A unified approach for sparse dynamical system inference from temporal measurements	2018	Yannis Pantazis Ioannis Tsamardinos	1
+ PDF Chat	Data-driven discovery of coordinates and governing equations	2019	Kathleen Champion Bethany Lusch J. Nathan Kutz Steven L. Brunton	1
+	On generalized residual network for deep learning of unknown dynamical systems	2021	Zhen Chen Dongbin Xiu	1
+ PDF Chat	Model selection for hybrid dynamical systems via sparse regression	2019	Niall M. Mangan Travis Askham Steven L. Brunton J. Nathan Kutz Joshua L. Proctor	1
+ PDF Chat	Rejoinder: Sparse Regression: Scalable Algorithms and Empirical Performance	2020	Dimitris Bertsimas Jean Pauphilet Bart Van Parys	1
+ PDF Chat	Sparse reduced-order modelling: sensor-based dynamics to full-state estimation	2018	Jean-Christophe Loiseau Bernd R. Noack Steven L. Brunton	1
+	Data-Driven Learning of Nonautonomous Systems	2021	Tong Qin Zhe Chen John Jakeman Dongbin Xiu	1
+ PDF Chat	Weak SINDy: Galerkin-Based Data-Driven Model Selection	2021	Daniel A. Messenger David M. Bortz	1
+ PDF Chat	PySINDy: A comprehensive Python package for robust sparse system identification	2022	Alan A. Kaptanoglu Brian M. de Silva Urban Fasel Kadierdan Kaheman Andy Goldschmidt Jared Callaham Charles B. Delahunt Zachary G. Nicolaou Kathleen Champion Jean-Christophe Loiseau	1
+	Sparse Identification of Nonlinear Dynamics with Control (SINDYc)	2016	Steven L. Brunton Joshua L. Proctor J. Nathan Kutz	1
+	Subset Selection in Regression	2002	Alan Miller	1
+ PDF Chat	An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems	2023	Feng Bao Neil Zhang Guannan Zhang	1
+ PDF Chat	DIFFUSION-MODEL-ASSISTED SUPERVISED LEARNING OF GENERATIVE MODELS FOR DENSITY ESTIMATION	2024	Yanfang Liu Minglei Yang Zezhong Zhang Feng Bao Yanzhao Cao Guannan Zhang	1