-
15:30
Machine learning approaches for parameter reweighting in MC samples of top quark production in CMS
-
Valentina Guglielmi
(Deutsches Elektronen-Synchrotron (DE))
-
15:35
ML-assisted reconstruction of hadron-collider events with mini-jets
-
Josef Modestus Murnauer
(Max Planck Society (DE))
-
15:40
Deep learning for the rare top decay t→sW at the LHC
-
Jeewon Heo
(University of Seoul, Department of Physics (KR))
-
15:45
Improving the line-segment tracking algorithm with machine learning for the High Luminosity LHC
-
Jonathan Guiang
(Univ. of California San Diego (US))
-
15:50
A data-driven and model-agnostic approach to solving combinatorial assignment problems in searches for new physics
-
Anthony Badea
(University of Chicago (US))
Javier Montejo Berlingen
(The Barcelona Institute of Science and Technology (BIST) (ES))
-
15:55
DeepCore2.0: Convolutional Neural Network for Tracking in the Core of High-Energy Jets
-
Hichem Bouchamaoui
(Princeton University (US))
-
16:00
Topological separation of dielectron signals using machine learning in Pb--Pb collisions with ALICE
-
Jerome Jung
(Goethe University Frankfurt (DE))
-
16:05
Model-independent strategy for New Physics seartch at LHC using Anomaly Detection algorithms
-
Louis Vaslin
(High Energy Accelerator Research Organization (JP))
-
16:10
Electron identification with a convolutional neural network
-
Hoang Dai Nghia Nguyen
(Université de Montreal (CA))
-
16:15
Particle identification with Machine Learning for ALICE ITS2
-
Giorgio Alberto Lucia
(Universita e INFN Torino (IT))
-
16:20
Decorrelation using Optimal Transport
-
Malte Algren
(Universite de Geneve (CH))
-
16:25
Particle Transformer for tau lepton pair invariant mass reconstruction for the HH→bbtautau CMS analysis
-
Valentina Camagni
(Universita & INFN, Milano-Bicocca (IT))
-
16:30
Apples to Apples in Jet Quenching
-
João A. Gonçalves
(LIP - IST)
-
16:35
Uncertainty-aware Machine Learning for Proton Therapy Range Verification with a Digital Tracking Calorimeter
-
Alexander Schilling
(University of Applied Sciences Worms)
-
16:40
Training and optimisation of large transformer models at CERN: an ATLAS case study on Kubeflow - Poster
-
Maxence Draguet
(University of Oxford (GB))
-
16:45
Reinforcement Learning Algorithms for Charged Particle Tracking with Applications in Proton Computed Tomography - Poster
-
Tobias Kortus
-
16:50
Out-of-Distribution Multi-set Generation with Context Extrapolation for Amortized Simulation and Inverse Problems - Poster
-
Hosein Hashemi
(LMU Munich)
-
16:55
Electron and Proton Classification with AMS ECAL Using Convolutional Vision Transformers and Domain Adaptation - Poster
-
Berk Turk
(Middle East Technical University (TR))
-
17:00
Differentiable Vertex Fitting for Jet Flavour Tagging - Poster
-
Ruben Miguel De Almeida Inacio
(LIP - Laboratorio de Instrumentação e Física Experimental de Partículas (PT))
-
17:05
Modeling $N_{\mathrm{ch}}$ distributions and $p_{\mathrm{T}}$ spectra in high-energy pp collisions with DNNs - Poster
-
Maria Alejandra Calmon Behling
(Goethe University Frankfurt (DE))
-
17:10
DeepTreeGANv2: Iterative Pooling of Point Clouds - Poster
-
Moritz Scham
(Deutsches Elektronen-Synchrotron (DE))
-
17:15
Accelerating the search for mass bumps using the Data-Directed Paradigm - Poster
-
Bruna Pascual
(Universite de Montreal (CA))
-
17:20
A Deep Generative Model for Hadronization - Poster
-
Jay Chan
(Lawrence Berkeley National Laboratory)
-
17:25
Attention to the strengths of physics interactions: Enhanced Deep Learning Event Classification for Particle Physics Experiments - Poster
-
Polina Moskvitina
(Nikhef National institute for subatomic physics (NL))
-
17:30
Longitudinal Beam Diagnostics and Phase Space Reconstruction in the LHC Using ML - Poster
-
Konstantinos Iliakis
(CERN)