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18:35
TURBO: The Swiss Knife of Auto-Encoders
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Guillaume Quétant
(Université de Genève (CH))
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18:35
Finding strong lens by combining DenseLens and segmentation
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Bharath Chowdhary Nagam
(Kapteyn Astronomical Institute)
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18:35
Pay Attention to Mean Fields for Point Cloud Generation
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Benno Kach
(Deutsches Elektronen-Synchrotron (DE))
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18:35
Cosmic Perspectives: A Comparative Study of Image-to-Image Translation Methods with an Emphasis on Geometrical Alignment
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Vitaliy Kinakh
(University of Geneva)
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18:35
Unlocking Autonomous Telescopes through Reinforcement Learning: An Offline Framework and Insights from a Case Study
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Franco Terranova
(University of Pisa, Fermi National Accelerator Laboratory)
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18:35
Using machine learning to detect antihydrogen in free fall
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Lukas Golino
(Swansea University (GB))
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18:35
Cluster Scanning
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Ivan Oleksiyuk
(UNIGE)
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18:35
Machine Learning based Compression of Scientific Data - the HEP Perspective
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Pratik Jawahar
(University of Manchester (UK - ATLAS))
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18:35
The Calorimeter Pyramid: Rethinking the design of generative calorimeter shower models
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Simon Schnake
(DESY / RWTH Aachen University)
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18:35
DeepTreeGAN: Fast Generation of High Dimensional Point Clouds
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Moritz Scham
(Deutsches Elektronen-Synchrotron (DE))
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18:35
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model
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Mariia Drozdova
(Universite de Geneve (CH))
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18:35
Learning the Reionization History from High-z Quasar Damping Wings with Simulation-based Inference
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Timo Kist
(Leiden Observatory)
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18:35
Diffusion-Based Separation of CMB and Dust Emission: Enabling Cosmological Inference
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David Heurtel-Depeiges
(Flatiron Institute (CCM))
Ruben Ohana
(Flatiron Institute (CCM))
Bruno Régaldo-Saint Blancard
(Flatiron Institute (CCM))
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18:35
Unsupervised and Weakly Supervised Machine Learning Enhanced Anomaly Detection in High Energy Physics
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Kinga Anna Wozniak
(Universite de Geneve (CH))
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18:35
Sampling high-dimensional inverse problem posteriors with neural score estimation
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Benjamin Remy
(CEA Saclay)
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18:35
Track finding and fitting with differentiable programming
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Lucrezia Rambelli
(University of Genova (IT))
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18:35
Are Differentiable Simulators Beneficial for Cosmological Simulation-Based Inference?
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Justine Zeghal
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18:35
Domain adaption between SKA radio mocks and cosmological simulations
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Philipp Denzel
(Centre for Artificial Intelligence, ZHAW)
