Adversarial Games for Particle Physics

Figure 6: Turbulent Poisson II point process (about 19 000 points): original sample and two samples generated using the ergodic descriptor as well as the full scale descriptor

C) The set of ideas for which non-accelerator and passive underground experiments have been, or should be, mounted (these ideas mainly refer to grand unified

Although Reid realized that the derivation of ideas from sensations has the character of judgment, according to Rosmini (1875, I: pp.77–103, sections 109-133) he did not realize

After recalling some elements of frequentist analysis, we have discussed three different approaches for theoretical uncertainties: the random-δ approach treats theoretical

This case clearly illustrates the fact that the transverse shear stress doesn’t vanish in the Kirchhoff–Love’s model: it is close to zero on most of the shell but far from it near

On the other hand, black-box methods where the adversary does not have access to the gradient of the loss function from the clas- sifier and has to probe the classifier with

For these games, we give an efficient value iteration algorithm to compute the values and optimal strategies (when they exist), that runs in pseudo-polynomial time.. We also

[1] addresses two main issues: the links between belowground and aboveground plant traits and the links between plant strategies (as defined by these traits) and the