-
6:35 PM
TURBO: The Swiss Knife of Auto-Encoders
-
Guillaume Quétant
(Université de Genève (CH))
-
6:35 PM
Finding strong lens by combining DenseLens and segmentation
-
Bharath Chowdhary Nagam
(Kapteyn Astronomical Institute)
-
6:35 PM
Pay Attention to Mean Fields for Point Cloud Generation
-
Benno Kach
(Deutsches Elektronen-Synchrotron (DE))
-
6:35 PM
Cosmic Perspectives: A Comparative Study of Image-to-Image Translation Methods with an Emphasis on Geometrical Alignment
-
Vitaliy Kinakh
(University of Geneva)
-
6:35 PM
Unlocking Autonomous Telescopes through Reinforcement Learning: An Offline Framework and Insights from a Case Study
-
Franco Terranova
(University of Pisa, Fermi National Accelerator Laboratory)
-
6:35 PM
Using machine learning to detect antihydrogen in free fall
-
Lukas Golino
(Swansea University (GB))
-
6:35 PM
Cluster Scanning
-
Ivan Oleksiyuk
(UNIGE)
-
6:35 PM
Machine Learning based Compression of Scientific Data - the HEP Perspective
-
Pratik Jawahar
(University of Manchester (UK - ATLAS))
-
6:35 PM
The Calorimeter Pyramid: Rethinking the design of generative calorimeter shower models
-
Simon Schnake
(DESY / RWTH Aachen University)
-
6:35 PM
DeepTreeGAN: Fast Generation of High Dimensional Point Clouds
-
Moritz Scham
(Deutsches Elektronen-Synchrotron (DE))
-
6:35 PM
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model
-
Mariia Drozdova
(Universite de Geneve (CH))
-
6:35 PM
Learning the Reionization History from High-z Quasar Damping Wings with Simulation-based Inference
-
Timo Kist
(Leiden Observatory)
-
6:35 PM
Diffusion-Based Separation of CMB and Dust Emission: Enabling Cosmological Inference
-
David Heurtel-Depeiges
(Flatiron Institute (CCM))
Ruben Ohana
(Flatiron Institute (CCM))
Bruno Régaldo-Saint Blancard
(Flatiron Institute (CCM))
-
6:35 PM
Unsupervised and Weakly Supervised Machine Learning Enhanced Anomaly Detection in High Energy Physics
-
Kinga Anna Wozniak
(Universite de Geneve (CH))
-
6:35 PM
Sampling high-dimensional inverse problem posteriors with neural score estimation
-
Benjamin Remy
(CEA Saclay)
-
6:35 PM
Track finding and fitting with differentiable programming
-
Lucrezia Rambelli
(University of Genova (IT))
-
6:35 PM
Are Differentiable Simulators Beneficial for Cosmological Simulation-Based Inference?
-
Justine Zeghal
-
6:35 PM
Domain adaption between SKA radio mocks and cosmological simulations
-
Philipp Denzel
(Centre for Artificial Intelligence, ZHAW)
