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DeepPINK:reproduciblefeatureselectionindeep neuralnetworks
Analogously,if afinancial transaction is flagged to be fraudulent, then the security teams want to knowwhich activities orbehaviorsledtotheflagging.
A Solvable High-Dimensional Model of GAN
Neural Information Processing Systems http://nips.cc/
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
Interatomic potentials learned using machine learning methods have been successfully applied to atomistic simulations.
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI
Tao Tu, John Paisley, Stefan Haufe, Paul Sajda
Finally,an EEG forward model based onapre-estimated lead field matrix wasconstructed together with the ROIsource model togenerate scalp EEG observations.
Compact Representation of Uncertainty in Clustering
Craig Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum
Neural Information Processing Systems http://nips.cc/
SnAKe: Bayesian Optimizationvia Pathwise Exploration
Weconsidertheproblem 9 Figure 5: V ofa SnAK Table 1: the multiplied 103.
DeepCounterfactualEstimationwithCategorical BackgroundVariables
Typically,givenanindividual,atreatmentassignment,andatreatmentoutcome, the counterfactual question asks what would have happened to that individual, had it been given anothertreatment,everythingelsebeingequal.
