Results 11 to 20 of about 2,233,236 (246)

Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness [PDF]

Science China Information Sciences
Adversarial robustness, which primarily comprises sensitivity-based robustness and spatial robustness, plays an integral part in achieving robust generalization. In this paper, we endeavor to design strategies to achieve universal adversarial robustness.
Ke Sun 0013, Mingjie Li 0007, Zhouchen Lin   +2 more
openaire   +4 more sources

The contributions of interlocking loops and extensive nonlinearity to the properties of circadian clock models. [PDF]

PLoS ONE, 2010
BackgroundSensitivity and robustness are essential properties of circadian clock systems, enabling them to respond to the environment but resist noisy variations.
Treenut Saithong, Kevin J Painter, Andrew J Millar   +2 more
doaj   +2 more sources

Network robustness: Implication, formulization and exploitation [PDF]

Network Biology, 2016
Robustness refers to a system's capacity for maintaining some performance when the system's internal structure is perturbed. In previous study, network robustness, i.e., network structure robustness, includes both resistance capacity (connection ...
WenJun Zhang
doaj   +1 more source

Robustness analysis of magnetic torquer controlled spacecraft attitude dynamics [PDF]

, 2009
This paper describes a systematic approach to the robustness analysis of linear periodically time-varying (LPTV) systems. The method uses the technique known as Lifting to transform the original time-varying uncertain system into linear fractional ...
Postlethwaite, I., Kim, J., Bates, D.G.
core   +8 more sources

Inspecting the Solution Space of Genome-Scale Metabolic Models

Metabolites, 2022
Genome-scale metabolic models are frequently used in computational biology. They offer an integrative view on the metabolic network of an organism without the need to know kinetic information in detail.
Seyed Babak Loghmani, Nadine Veith, Sven Sahle, Frank T. Bergmann, Brett G. Olivier, Ursula Kummer   +5 more
doaj   +1 more source

Evaluation of VLBI Observations with Sensitivity and Robustness Analyses

Mathematics, 2020
Very Long Baseline Interferometry (VLBI) plays an indispensable role in the realization of global terrestrial and celestial reference frames and in the determination of the full set of the Earth Orientation Parameters (EOP).
Pakize Küreç Nehbit, Robert Heinkelmann, Harald Schuh, Susanne Glaser, Susanne Lunz, Nicat Mammadaliyev, Kyriakos Balidakis, Haluk Konak, Emine Tanır Kayıkçı   +8 more
doaj   +1 more source

Quantum Risk-Sensitive Estimation and Robustness [PDF]

IEEE Transactions on Automatic Control, 2009
This paper studies a quantum risk-sensitive estimation problem and investigates robustness properties of the filter. This is a direct extension to the quantum case of analogous classical results. All investigations are based on a discrete approximation model of the quantum system under consideration.
Naoki Yamamoto, Luc Bouten
openaire   +4 more sources

Sensitivity analysis modelling for microscale multiphysics robust engineering design [PDF]

, 2007
Sensitivity Analysis (SA) plays an important role in the development of any practical engineering model. It can help to reveal the sources and mechanisms of variability that provide the key to understanding system uncertainty.
Bates, RA, Wynn, H, Perry, M, Atherton, MA, Oldfield, M   +4 more
core   +6 more sources

Robustness from flexibility in the fungal circadian clock [PDF]

, 2010
Background Robustness is a central property of living systems, enabling function to be maintained against environmental perturbations. A key challenge is to identify the structures in biological circuits that confer system-level properties such as ...
Andrew J Millar, Paul E Brown, David A Rand, Akman, Ozgur E., Rand, D. A. (David A.), Akman, Ozgur E, Brown, Paul E, Rand, David A., Ozgur E Akman, Millar, Andrew J; id_orcid, Brown, Paul E., Millar, A. J. (Andrew J.), Millar, Andrew J., Rand, David A   +13 more
core   +1 more source

Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias

Journal of Causal Inference, 2023
A key objective of decomposition analysis is to identify a factor (the “mediator”) contributing to disparities in an outcome between social groups. In decomposition analysis, a scholarly interest often centers on estimating how much the disparity (e.g ...
Park Soojin, Kang Suyeon, Lee Chioun, Ma Shujie   +3 more
doaj   +1 more source