Stability
By A. Fuller, A. Wall, M. Crowther, A. Lloyd, A. Zhurov, A. Sewell, D. Cole, K. Beck. 2018
Subfields: Optimization & Training
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Optimization & Training
- Gérard Biau
- Erwan Scornet
- Chongjian Ge
- Reza Abbasi-Asl
- Lewei Yao
- Sébastien Da Veiga
- Ying Fu
- W. James Murdoch
Citations in the corpus
- Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, neutral): “As stated in [165–167] , stability is a must-have when drawing interpretations from a certain model.”
- Stochastic mechano-chemical kinetics of molecular motors: A multidisciplinary enterprise from a physicist’s perspective (2012, unknown): “For example, if the leading RNAP is “obstructed” by a sufficiently strong barrier, the trailing RNAP can backtrack after suffering collision with it [1542].”
- Stabilizing open quantum systems by Markovian reservoir engineering (2009, unknown): “If A has purely imaginary eigenvalues, then the steady states are centers and the invariant set contains center manifolds, which exponentially attract the dynamics [29].”
- Conformational constraints for amyloid fibrillation: the importance of being unfolded. (2004, unknown): “These observations emphasize a key role of the disordered N - terminal domain in the fibril - lation of Ure2 protein .”
- Separating the chance effect from other diversity effects in the functioning of plant communities (2001, unknown): “1982, Lepsˇ 1990).”
- Towards the solution of the many-electron problem in real materials: equation of state of the hydrogen chain with state-of-the-art many-body methods (2017, unknown): “The accuracy of the CP AFQMC was extensively benchmarked in both real materials [5,80,81] and lattice models [2,79].”
- Machine Learning in Banking Risk Management: A Literature Review (2019, background): “New regulations have also pushed the banks to automate with the need to have efficient regulatory compliance (Financial Stability Board 2017).”
- Stable Prediction across Unknown Environments (2018, unknown): “We report the Average Error , 5 ∗ Stability Error , and Average Error + 5 ∗ Stability Error on a synthetic dataset under setting S ⊥ V with n = 2000 and p = 20.”
- Disentangled Face Attribute Editing via Instance-Aware Latent Space Search (2021, methodology): “We test our framework on the W space of StyleGAN generator trained on the FFHQ [Karras et al., 2018] and CelebA-HQ [Karras et al.”
- An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference? (2020, methodology): “Our goal is not to supplant other analyses, but to provide an additional tool to be incorporated into a broader ecosystem of systematic stability analysis in data science (Yu, 2013).”
- Nonlinear norm-observability notions and stability of switched systems (2005, unknown): “, [5] for a discussion of this relationship.”