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17:10
Precision-Machine Learning for the Matrix Element Method
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Theo Heimel
(Heidelberg University)
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17:13
Robust Uncertainty Quantification in Parton Distribution Function Inference
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Mark Costantini
(University of Cambridge)
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17:16
Evaluating Generative Models with non-parametric two-sample tests
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Samuele Grossi
(University of Genova)
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17:19
Estimation of Machine Learning model uncertainty in particle physics event classifiers
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julia vazquez escobar
(Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT))
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17:22
Studying Adversarial Deep Learning techniques in the context of High-Energy Physics
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Timo Saala
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17:42
Hyperparameter optimization of neural networks for proton structure analyses
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Tanjona Rabemananjara
(nikhef)
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18:02
Next generation cosmological analysis with a re-usable library of machine learning emulators across a variety of cosmological models
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Dily Duan Yi Ong
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18:05
Deep support vector data description models on an analog in-memory computing platform for real-time unsupervised anomaly detection.
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Dominique Kosters
(Radboud Universiteit, IBM, IMM,)
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18:08
Reconstruction of Low Mass Vector Mesons via Dimuon decay channel using Machine Learning Technique for the CBM Experiment at FAIR
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Abhishek Kumar Sharma
(Aligarh Muslim Universty, Aligarh, India)
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18:11
Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies
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Gergely Gábor Barnaföldi
(HUN-REN Wigner RCP)
