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000996357 1001_ $$0P:(DE-82)999551$$aFarkas, Máté Zoltán$$b0$$eCorresponding author$$urwth
000996357 1112_ $$a26. International Conference on Computing in High Energy and Nuclear Physics$$cNorfolk, VA$$d2023-05-08 - 2023-05-12$$gCHEP 2023$$wUSA
000996357 245__ $$aA method for inferring signal strength modifiers by conditional invertible neural networks$$honline
000996357 260__ $$aLes Ulis$$bEDP Sciences$$c2024
000996357 29510 $$a26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023) : Norfolk, VA, USA, May 8-12, 2023 / R. De Vita, X. Espinal, P. Laycock and O. Shadura (eds.)
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000996357 7001_ $$0P:(DE-82)969662$$aDiekmann, Svenja$$b1$$eCorresponding author$$urwth
000996357 7001_ $$0P:(DE-82)820556$$aEich, Niclas$$b2$$eCorresponding author$$urwth
000996357 7001_ $$0P:(DE-82)IDM00056$$aErdmann, Martin$$b3$$eCorresponding author$$urwth
000996357 7001_ $$aCMS Collaboration$$b4$$eCollaboration author
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