Name: Fourth MODE Workshop on Differentiable Programming for Experiment Design
Start: 2024-09-23T09:00:00+02:00
End: 2024-09-25T18:10:00+02:00
Location: Valencia (Spain)

Fourth MODE Workshop on Differentiable Programming for Experiment Design

from Monday 23 September 2024 (09:00) to Wednesday 25 September 2024 (18:10)

Monday 23 September 2024

09:00 Registration
Registration
09:00 - 09:30
09:30
09:30 - 10:00
Contributions

09:30 Welcome - Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))

09:31 Welcome from Local Organisers - Jose Salt (Instituto de Fisica Corpuscular (IFIC) - Universidad de Valencia) Roberto Ruiz De Austri

09:35 Introduction and scope of the Workshop - Tommaso Dorigo (INFN Padova and LTU)
10:00
10:00 - 11:00
Contributions

10:00 Learning Without Labels - Danilo Rezende (Google Deep Mind)
11:00 Coffee Break
Coffee Break
11:00 - 11:30
11:30
11:30 - 12:50
Contributions

11:30 Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations - Jan Kaiser

11:50 Identification of Particle Tracks in CMS with Neuromorphic Computing - Emanuele Coradin (University of Padova)

12:10 Machine Learning approach to Beam Induced Background Shield at 3 TeV Muon Collider - Luca Castelli

12:30 Stable neural network models for calorimeter optimization - Alexey Boldyrev (NRU Higher School of Economics (Moscow, Russia))
13:00 Lunch break
Lunch break
13:00 - 14:30
14:30
14:30 - 15:30
Contributions

14:30 Collision Resistance in random Neural Network-Based Hash Functions - Riccardo Zecchina (Università Bocconi)
15:30
15:30 - 16:10
Contributions

15:30 Algorithmic Derivatives of Electromagnetic Shower Simulations - Max Aehle (Fachhochschule Worms (DE)) Max Aehle

15:50 Exploring End-to-end Differentiable Charged Particle Tracking - Tobias Kortus (University of Kaiserslautern-Landau (RPTU))
16:10 Coffee Break
Coffee Break
16:10 - 16:35
16:35
16:35 - 18:15
Contributions

16:35 NuRadioOpt: Optimization of Radio Detectors of Ultra-High Energy Neutrinos through Deep Learning and Differential Programming - Christian Glaser (Uppsala University)

16:55 Machine learning based design optimization for the search of neutrinoless double-beta decay with LEGEND - Ann-Kathrin Schuetz (Lawrence Berkeley National Laboratory)

17:15 Status of GENETIS - Amy Connolly (The Ohio State University)

17:35 Simultaneous high-dimensional calibration with differentiable simulations for a liquid argon time projection chamber - Yifan Chen (SLAC National Accelerator Laboratory (US))

17:55 TAMBO: Searching for Tau Neutrinos in the Peruvian Andes - Alfonso Andres Garcia Soto (IFIC)
18:15 Free time
Free time
18:15 - 19:30

19:30 Concert
Concert
19:30 - 20:30
Tuesday 24 September 2024
09:00
09:00 - 10:00
Contributions

09:00 Optimisation of muon tomography scanners for border controls using TomOpt - Zahraa Zaher

09:20 Generative Adversarial Neural Networks for muography simulation: image prediction - Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))

09:40 Segmentation and anomaly detection on Muon Tomography applied to the inspection of containers - Carlos Diez (Muon Tomography Systems S.L.)
10:00
10:00 - 11:00
Contributions

10:00 Derivative-based optimization for applications in physics - Andrea Walther (Humboldt Universität Berlin)
11:00 Coffee Break and Group Photo
Coffee Break and Group Photo
11:00 - 11:30
11:30
11:30 - 12:50
Contributions

11:30 Magnet Design Optimization with Supervised Deep Neural Networks - Florian Wolfgang Stummer (University of London (GB))

11:50 A Surrogate Model to Optimize Injection Efficiency in PSI muEDM Experiment - Ritwika Chakraborty (PSI)

12:10 Towards the optimization of a Muon Collider Calorimeter - Federico Nardi (Universita e INFN, Padova (IT) - LPC Clermont)

12:30 Studies on detector optimisation through end-to-end surrogate models including discrete parameters. - Jan Kieseler (KIT - Karlsruhe Institute of Technology (DE))
13:00 Lunch break
Lunch break
13:00 - 14:30
14:30
14:30 - 15:50
Contributions

14:30 Application of machine learning techniques to search dark matter with ANAIS-112 - Iván Coarasa Casas (CAPA, University of Zaragoza, Spain)

14:50 Optimization of the DSA 2000 radio interferometer - Joshua Albert (Caltech)

15:10 Applications of Information Field Theory in Astroparticle Physics - Frederik Krieger (RWTH Aachen University)

15:30 A surrogate model for the generation of radio pulses from neutrinos for IceCube-Gen2 - Philipp Pilar (Uppsala University)
16:00 Coffee Break
Coffee Break
16:00 - 16:30
16:30
16:30 - 18:10
Contributions

16:30 Automated Design of Quantum Experiments - Mario Krenn (MPI)

16:50 Automatic optimization of a Parallel-Plate Avalanche Counter with Optical Readout - María Pereira

17:10 Utilizing Neuronal Networks to Enhance the Application of Metallic-Magnetic Calorimeters for X-ray Spectroscopy - Marc Oliver Herdrich (Helmholtz-Institute Jena, Germany)

17:30 Differentiable Deep Learning Surrogate Models applied to the optimization of the IFMIF-DONES facility - Galo Gallardo Romero (Artificial Intelligence Engineer at HI Iberia)

17:50 Optimal design for experimental production of exotic hypernuclei - Samuel Escrig López (Instituto de Estructura de la Materia (IEM - CSIC))
18:20
18:20 - 20:00
Contributions

18:25 Computational Evaluation of Na3SbX3 (X =S, Se) for resistive switching memory devices for Neuromorphic Computing applications - Muhammad Awais

18:25 Improving BioDynamo's Performance using ROOT C++ Modules - Isaac Morales Santana (Universidad de Granada)

18:25 Machine learning in muography: Optimisation of muon detection systems for border control using TomOpt - Samuel Álvarez Lueje (Universidad de Oviedo)

18:25 Evo-SAN: Evolutionary Optimization and Co-design of Energy-efficient Neuromorphic Hardware Trigger for UHE Neutrino Detection - Alexander Kyuroson (Lulea Technical University)

18:25 Smart Web Services in the Web of things - Nawel SEKKAL (University Abou Bekr Belkaid Tlemcen)

18:25 Machine Learning for Particle Identification in Real Time at the ATLAS Experiment - Marta Lanzac Berrocal (Univ. of Valencia and CSIC (ES))

18:25 Porting MADGRAPH to FPGA using High-Level Synthesis (HLS) - Hector Gutierrez Arance (Univ. of Valencia and CSIC (ES))

18:25 Development and explainability of models for machine-learning-based signal reconstruction - Kalina Dimitrova (University of Sofia - St. Kliment Ohridski (BG))

18:25 Neuromorphic Readout For Homogeneous Hadron Calorimeters - Enrico Lupi (INFN Padova and University of Padova)

18:25 Toward Particle ID in Granular Hadron Calorimeters - Andrea De Vita (Universita e INFN, Padova (IT))

18:25 Algorithmic differentiation in a granular calorimeter - Xuan Tung Nguyen (INFN and RPTU)

18:25 Multivariate two-sample tests from univariate integral probability measures - Samuele Grossi (Università degli studi di Genova & INFN sezione di Genova)

18:25 Versal ACAP processing for ATLAS-TileCal signal reconstruction - Francisco Hervas Alvarez (Univ. of Valencia and CSIC (ES))
20:00 Free time
Free time
20:00 - 21:00

21:00 Social dinner
Social dinner
21:00 - 23:55
Wednesday 25 September 2024
09:00
09:00 - 10:00
Contributions

09:00 Muon momentum estimation in scattering tomography - Florian Bury (University of Bristol)

09:20 Improving Material Identification in Muon Scattering Tomography with Machine Learning. - Angel Bueno Rodriguez (German Aerospace Center (DLR))

09:40 Muographic Image Up-Sampling with Machine Learning for Built Infrastructure Applications - William O'Donnell (University of Glasgow)
10:00
10:00 - 10:40
Contributions

10:00 Charge Diffusion Modeling and Pixel-level Differentiability in Monolithic Active Pixel Sensors - Alexander Schilling (University of Kaiserslautern-Landau (RPTU))

10:20 Development of a Universal Simulation and Modelling Language at NASA - Stephen Casey (NASA Kennedy Space Center)
10:40
10:40 - 11:00
Contributions

10:40 ML4GW: An AI-based Ecosystem for Real-time Gravitational Wave Analysis - Eric Anton Moreno (Massachusetts Institute of Technology (US))
11:00 Coffee Break
Coffee Break
11:00 - 11:30
11:30
11:30 - 12:30
Contributions

11:30 Automatic Differentiation in RooFit - Vassil Vasilev (Princeton University (US))

11:50 Advanced optimizations for source transformation based automatic differentiation - Maksym Andriichuk

12:10 Automatic Differentiation of the Kokkos framework with Clad - Atell-Yehor Krasnopolski
12:30 Poster Awards - Emma Torro Pastor (Univ. of Valencia and CSIC (ES)) Christian Glaser (Uppsala University) Lisa Kusch (TU Eindhoven)
Poster Awards
- Emma Torro Pastor (Univ. of Valencia and CSIC (ES))
- Christian Glaser (Uppsala University)
- Lisa Kusch (TU Eindhoven)
12:30 - 12:40
12:40 Lunch break
Lunch break
12:40 - 14:20
14:20
14:20 - 15:40
Contributions

14:20 PETAL-3D: A Novel 3D U-Net Approach for Ultra-Low-Dose PET Image Denoising - Ezzat Elmoujarkach (Universität zu Lübeck - Institute of Medical Engineering)

14:40 Neural Networks for inter-crystal scatter recovery in semi-monolithic PET detectors - Karol Brzezinski (IFIC (CSIC-UV))

15:00 Machine Learning Framework for Time Pick-Up of Nuclear Detector Signals - José Andrés Avellaneda González Not Supplied

15:20 Enhancing Compton Camera Imaging with Neural Networks - Javier Pérez Curbelo (Instituto de Física Corpuscular (IFIC) (CSCI-UV))
15:40 Coffee Break
Coffee Break
15:40 - 16:10

16:10 Closing session
Closing session
16:10 - 16:40

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