Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maheshwari, Naman"'
For Deep Neural Networks (DNNs) to become useful in safety-critical applications, such as self-driving cars and disease diagnosis, they must be stable to perturbations in input and model parameters. Characterizing the sensitivity of a DNN to perturba
Externí odkaz:
http://arxiv.org/abs/2307.12679
Planning based on long and short term time series forecasts is a common practice across many industries. In this context, temporal aggregation and reconciliation techniques have been useful in improving forecasts, reducing model uncertainty, and prov
Externí odkaz:
http://arxiv.org/abs/2201.11964
In the context of time series forecasting, it is a common practice to evaluate multiple methods and choose one of these methods or an ensemble for producing the best forecasts. However, choosing among different ensembles over multiple methods remains
Externí odkaz:
http://arxiv.org/abs/2112.08052
Publikováno v:
2015 28th International Conference on VLSI Design; 2015, p209-214, 6p
