analytic prediction
An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
Backes, Mathias, Butter, Anja, Dunford, Monica, Malaescu, Bogdan
The unfolding of detector effects is crucial for the comparison of data to theory predictions. While traditional methods are limited to representing the data in a low number of dimensions, machine learning has enabled new unfolding techniques while retaining the full dimensionality. Generative networks like invertible neural networks~(INN) enable a probabilistic unfolding, which map individual events to their corresponding unfolded probability distribution. The accuracy of such methods is however limited by how well simulated training samples model the actual data that is unfolded. We introduce the iterative conditional INN~(IcINN) for unfolding that adjusts for deviations between simulated training samples and data. The IcINN unfolding is first validated on toy data and then applied to pseudo-data for the $pp \to Z \gamma \gamma$ process.
Big data and analytics
BDA Goes … continued • "… using Big and Smart Data as well as methods and tools based on semantic technologies will provide more transparency, enable precise and well-founded decisions and improve planning processes, which will result in more efficient and user-centric processes and systems …" • "Integrating things, data and semantic opens opportunities for knowledge discovery, and further makes it possible to provide advanced and intelligent services."
4 Analytic Predictions for 2017 – From Killer Devices to AI Hype
In many ways I think 2016 was the year that analytics hit the mainstream. At cocktail parties and in coffee shops, 2016 has been the year that we data scientists suddenly felt a bit like – dare I say it? Suffice it to say that in 2017, I believe that analytics, and the many domains it influences, will be a non-stop hit machine in terms of generating news headlines and ideas that fascinate us. In light of the recent Dyn attack, will 2017 be the year that your IoT device will turn on you? (Think Westworld, Humans, Terminator.) I think the answer is "yes."
4 Analytic Predictions for 2017 – From Killer Devices to AI Hype
In many ways I think 2016 was the year that analytics hit the mainstream. At cocktail parties and in coffee shops, 2016 has been the year that we data scientists suddenly felt a bit like – dare I say it? Suffice it to say that in 2017, I believe that analytics, and the many domains it influences, will be a non-stop hit machine in terms of generating news headlines and ideas that fascinate us. In light of the recent Dyn attack, will 2017 be the year that your IoT device will turn on you? (Think Westworld, Humans, Terminator.) I think the answer is "yes."