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Understanding Event-Generation Networks via Uncertainties von Bellagente, Marco, Haussmann, Manuel, Luchmann, Michel, Plehn, Tilman

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Loop amplitudes from precision networks von Badger, Simon, Butter, Anja, Luchmann, Michel, Pitz, Sebastian, Plehn, Tilman

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To profile or to marginalize - A SMEFT case study von Brivio, Ilaria, Bruggisser, Sebastian, Elmer, Nina, Geoffray, Emma, Luchmann, Michel, Plehn, Tilman

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From models to SMEFT and back? von Brivio, Ilaria, Bruggisser, Sebastian, Geoffray, Emma, Killian, Wolfgang, Krämer, Michael, Luchmann, Michel, Plehn, Tilman, Summ, Benjamin

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Machine learning and LHC event generation von Butter, Anja, Plehn, Tilman, Schumann, Steffen, Badger, Simon, Caron, Sascha, Cranmer, Kyle, Di Bello, Francesco Armando, Dreyer, Etienne, Forte, Stefano, Ganguly, Sanmay, Gonçalves, Dorival, Gross, Eilam, Heimel, Theo, Heinrich, Gudrun, Heinrich, Lukas, Held, Alexander, Höche, Stefan, Howard, Jessica N., Ilten, Philip, Isaacson, Joshua, Janßen, Timo, Jones, Stephen, Kado, Marumi, Kagan, Michael, Kasieczka, Gregor, Kling, Felix, Kraml, Sabine, Krause, Claudius, Krauss, Frank, Kröninger, Kevin, Barman, Rahool Kumar, Luchmann, Michel, Magerya, Vitaly, Maitre, Daniel, Malaescu, Bogdan, Maltoni, Fabio, Martini, Till, Mattelaer, Olivier, Nachman, Benjamin, Pitz, Sebastian, Rojo, Juan, Schwartz, Matthew, Shih, David, Siegert, Frank, Stegeman, Roy, Stienen, Bob, Thaler, Jesse, Verheyen, Rob, Whiteson, Daniel, Winterhalder, Ramon, Zupan, Jure

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Loop Amplitudes from Precision Networks von Badger, Simon, Butter, Anja, Luchmann, Michel, Pitz, Sebastian, Plehn, Tilman

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To Profile or To Marginalize -- A SMEFT Case Study von Brivio, Ilaria, Bruggisser, Sebastian, Elmer, Nina, Geoffray, Emma, Luchmann, Michel, Plehn, Tilman

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To profile or to marginalize : A SMEFT case study von Brivio, Ilaria, Bruggisser, Sebastian, Elmer, Nina, Geoffray, Emma, Luchmann, Michel, Plehn, Tilman

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Understanding Event-Generation Networks via Uncertainties von Bellagente, Marco, Haußmann, Manuel, Luchmann, Michel, Plehn, Tilman

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Per-Object Systematics using Deep-Learned Calibration von Kasieczka, Gregor, Luchmann, Michel, Otterpohl, Florian, Plehn, Tilman

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From Models to SMEFT and Back? von Brivio, Ilaria, Bruggisser, Sebastian, Geoffray, Emma, Kilian, Wolfgang, Krämer, Michael, Luchmann, Michel, Plehn, Tilman, Summ, Benjamin

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Loop Amplitudes from Precision Networks von Badger, Simon, Butter, Anja, Luchmann, Michel, Pitz, Sebastian, Plehn, Tilman

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Deep-Learning Jets with Uncertainties and More von Bollweg, Sven, Haussmann, Manuel, Kasieczka, Gregor, Luchmann, Michel, Plehn, Tilman, Thompson, Jennifer

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Per-Object Systematics using Deep-Learned Calibration von Kasieczka, Gregor, Luchmann, Michel, Otterpohl, Florian, Plehn, Tilman

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Machine Learning and LHC Event Generation von Butter, Anja, Plehn, Tilman, Schumann, Steffen, Badger, Simon, Caron, Sascha, Cranmer, Kyle, Di Bello, Francesco Armando, Dreyer, Etienne, te, Stefano, Ganguly, Sanmay, Gonçalves, Dorival, Gross, Eilam, Heimel, Theo, Heinrich, Gudrun, Heinrich, Lukas, Held, Alexander, Höche, Stefan, Howard, Jessica N, Ilten, Philip, Isaacson, Joshua, Janßen, Timo, Jones, Stephen, Kado, Marumi, Kagan, Michael, Kasieczka, Gregor, Kling, Felix, Kraml, Sabine, Krause, Claudius, Krauss, Frank, Kröninger, Kevin, Barman, Rahool Kumar, Luchmann, Michel, Magerya, Vitaly, Maitre, Daniel, Malaescu, Bogdan, Maltoni, Fabio, Martini, Till, Mattelaer, Olivier, Nachman, Benjamin, Pitz, Sebastian, Rojo, Juan, Schwartz, Matthew, Shih, David, Siegert, Frank, Stegeman, Roy, Stienen, Bob, Thaler, Jesse, Verheyen, Rob, Whiteson, Daniel, Winterhalder, Ramon, Zupan, Jure

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