Modeling
By M. Geyer, Benjamin Hiller, Sascha Meinert. 2010
3,634 citations recorded by the source corpus.
Subfields: Model Architectures
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Model Architectures
- P. Miretzky
- John J. McPhee
- Aden N. Seaman
- Volker Mehrmann
- Chi-Wang Shu
- Yasser Abdel-Rady Ibrahim Mohamed
- Gary F. Marcus
- Sujit Das
Citations in the corpus
- Reparameterization Gradient for Non-differentiable Models (2018, methodology): “Our implementation2 is written in Python and uses autograd [18], an automatic differentiation package for Python, to automatically compute the gradient term in RepGradθ ∧ for an arbitrary probabilistic model.”
- Control and Optimization with Differential-Algebraic Constraints (2012, background): “Due to the ever growing complexity of models which pose new challenges, the field is developing rather rapidly including now also hybrid [2, 3, 4, 11, 21, 31, 39] and delay systems [16, 17, 25, 26, 27].”
- On the Numerical Integration of Scalar Nonlocal Conservation Laws (2015, background): “Introduction Conservation laws with nonlocal fluxes have appeared recently in the literature, arising naturally in many fields of application, such as in crowd dynamics (see [6–8, 22] and the references therein), in models inspired from biology, see [5, 12, 13, 15] and, more recently, also in an ind”
- Asymptotic analysis of the differences between the Stokes–Darcy system with different interface conditions and the Stokes–Brinkman system☆ (2010, background): “This low sensitivity is observed in numerical simulations [8].”
- Applications of neuro fuzzy systems: A brief review and future outline (2014, methodology): “Chen [136] presented a Takagi–Sugeno fuzzy model for the modeling and stability analysis of oceanic structures.”
- Managerial Gender Diversity and Firm Performance (2016, neutral): “We employed orthogonal polynomials to account for potential collinearity of the constructed multiplicative gender-diversity terms (Bliese, 2009).”
- Nonlinear Mathematical Modeling in Pneumatic Servo Position Applications (2011, methodology): “Bobrow and McDonell [17] use a curve fit for the change in internal energy as a function of cylinder pressure which is quadratic in u.”
- Active Mitigation of Subsynchronous Interactions Between PWM Voltage-Source Converters and Power Networks (2014, methodology): “The control parameters are designed through frequency-shaping technique, the design procedure, and steps are discussed in [12].”
- Estimation of energy consumption in machine learning (2019, background): “While other works have surveyed energy estimation techniques on mobile devices [2,38], GPUs [8] and HPC systems [55]; we present, to the best of our knowledge, the first survey of system-level energy estimation approaches in the architecture community that could be applied to machine learning scenar”
- High Order Weighted Essentially Nonoscillatory Schemes for Convection Dominated Problems (2009, methodology): “Modeling and simulation for a particlefluid two phase flow problem are studied in [188].”