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Adversarial learning to eliminate systematic errors: a case study in High Energy Physics

Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau. Adversarial learning to eliminate systematic errors: a case study in High Energy Physics. NIPS 2017 - workshop Deep Learning for Physical Sciences, Dec 2017, Long Beach, United States. pp.1-5. ⟨hal-01665925⟩

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