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, September 23, 2024 (9:00 AM) to Wednesday, September 25, 2024 (6:10 PM)

Monday, September 23, 2024

9:00 AM Registration
Registration
9:00 AM - 9:30 AM
9:30 AM Introduction
9:30 AM - 10:00 AM
Contributions

9:30 AM Welcome - Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))

9:31 AM Welcome from Local Organisers - Jose Salt (Instituto de Fisica Corpuscular (IFIC) - Universidad de Valencia) Roberto Ruiz De Austri

9:35 AM Introduction and scope of the Workshop - Tommaso Dorigo (INFN Padova and LTU)
10:00 AM Keynotes
10:00 AM - 11:00 AM
Contributions

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

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

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

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

12:30 PM Stable neural network models for calorimeter optimization - Alexey Boldyrev (NRU Higher School of Economics (Moscow, Russia))
1:00 PM Lunch break
Lunch break
1:00 PM - 2:30 PM
2:30 PM Keynotes
2:30 PM - 3:30 PM
Contributions

2:30 PM Collision Resistance in random Neural Network-Based Hash Functions - Riccardo Zecchina (Università Bocconi)
3:30 PM Computer Science
3:30 PM - 4:10 PM
Contributions

3:30 PM Algorithmic Derivatives of Electromagnetic Shower Simulations - Max Aehle (Fachhochschule Worms (DE)) Max Aehle

3:50 PM Exploring End-to-end Differentiable Charged Particle Tracking - Tobias Kortus (University of Kaiserslautern-Landau (RPTU))
4:10 PM Coffee Break
Coffee Break
4:10 PM - 4:35 PM
4:35 PM Astroparticle
4:35 PM - 6:15 PM
Contributions

4:35 PM NuRadioOpt: Optimization of Radio Detectors of Ultra-High Energy Neutrinos through Deep Learning and Differential Programming - Christian Glaser (Uppsala University)

4:55 PM Machine learning based design optimization for the search of neutrinoless double-beta decay with LEGEND - Ann-Kathrin Schuetz (Lawrence Berkeley National Laboratory)

5:15 PM Status of GENETIS - Amy Connolly (The Ohio State University)

5:35 PM Simultaneous high-dimensional calibration with differentiable simulations for a liquid argon time projection chamber - Yifan Chen (SLAC National Accelerator Laboratory (US))

5:55 PM TAMBO: Searching for Tau Neutrinos in the Peruvian Andes - Alfonso Andres Garcia Soto (IFIC)
6:15 PM Free time
Free time
6:15 PM - 7:30 PM

7:30 PM Social events: Concert
Concert
7:30 PM - 8:30 PM
Tuesday, September 24, 2024
9:00 AM Muography
9:00 AM - 10:00 AM
Contributions

9:00 AM Optimisation of muon tomography scanners for border controls using TomOpt - Zahraa Zaher

9:20 AM Generative Adversarial Neural Networks for muography simulation: image prediction - Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))

9:40 AM Segmentation and anomaly detection on Muon Tomography applied to the inspection of containers - Carlos Diez (Muon Tomography Systems S.L.)
10:00 AM Keynotes
10:00 AM - 11:00 AM
Contributions

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

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

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

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

12:30 PM Studies on detector optimisation through end-to-end surrogate models including discrete parameters. - Jan Kieseler (KIT - Karlsruhe Institute of Technology (DE))
1:00 PM Lunch break
Lunch break
1:00 PM - 2:30 PM
2:30 PM Astroparticle
2:30 PM - 3:50 PM
Contributions

2:30 PM Application of machine learning techniques to search dark matter with ANAIS-112 - Iván Coarasa Casas (CAPA, University of Zaragoza, Spain)

2:50 PM Optimization of the DSA 2000 radio interferometer - Joshua Albert (Caltech)

3:10 PM Applications of Information Field Theory in Astroparticle Physics - Frederik Krieger (RWTH Aachen University)

3:30 PM A surrogate model for the generation of radio pulses from neutrinos for IceCube-Gen2 - Philipp Pilar (Uppsala University)
4:00 PM Coffee Break
Coffee Break
4:00 PM - 4:30 PM
4:30 PM Nuclear Physics
4:30 PM - 6:10 PM
Contributions

4:30 PM Automated Design of Quantum Experiments - Mario Krenn (MPI)

4:50 PM Automatic optimization of a Parallel-Plate Avalanche Counter with Optical Readout - María Pereira

5:10 PM Utilizing Neuronal Networks to Enhance the Application of Metallic-Magnetic Calorimeters for X-ray Spectroscopy - Marc Oliver Herdrich (Helmholtz-Institute Jena, Germany)

5:30 PM Differentiable Deep Learning Surrogate Models applied to the optimization of the IFMIF-DONES facility - Galo Gallardo Romero (Artificial Intelligence Engineer at HI Iberia)

5:50 PM Optimal design for experimental production of exotic hypernuclei - Samuel Escrig López (Instituto de Estructura de la Materia (IEM - CSIC))
6:20 PM Poster session
6:20 PM - 8:00 PM
Contributions

6:25 PM Computational Evaluation of Na3SbX3 (X =S, Se) for resistive switching memory devices for Neuromorphic Computing applications - Muhammad Awais

6:25 PM Improving BioDynamo's Performance using ROOT C++ Modules - Isaac Morales Santana (Universidad de Granada)

6:25 PM Machine learning in muography: Optimisation of muon detection systems for border control using TomOpt - Samuel Álvarez Lueje (Universidad de Oviedo)

6:25 PM Evo-SAN: Evolutionary Optimization and Co-design of Energy-efficient Neuromorphic Hardware Trigger for UHE Neutrino Detection - Alexander Kyuroson (Lulea Technical University)

6:25 PM Smart Web Services in the Web of things - Nawel SEKKAL (University Abou Bekr Belkaid Tlemcen)

6:25 PM Machine Learning for Particle Identification in Real Time at the ATLAS Experiment - Marta Lanzac Berrocal (Univ. of Valencia and CSIC (ES))

6:25 PM Porting MADGRAPH to FPGA using High-Level Synthesis (HLS) - Hector Gutierrez Arance (Univ. of Valencia and CSIC (ES))

6:25 PM Development and explainability of models for machine-learning-based signal reconstruction - Kalina Dimitrova (University of Sofia - St. Kliment Ohridski (BG))

6:25 PM Neuromorphic Readout For Homogeneous Hadron Calorimeters - Enrico Lupi (INFN Padova and University of Padova)

6:25 PM Toward Particle ID in Granular Hadron Calorimeters - Andrea De Vita (Universita e INFN, Padova (IT))

6:25 PM Algorithmic differentiation in a granular calorimeter - Xuan Tung Nguyen (INFN and RPTU)

6:25 PM Multivariate two-sample tests from univariate integral probability measures - Samuele Grossi (Università degli studi di Genova & INFN sezione di Genova)

6:25 PM Versal ACAP processing for ATLAS-TileCal signal reconstruction - Francisco Hervas Alvarez (Univ. of Valencia and CSIC (ES))
8:00 PM Free time
Free time
8:00 PM - 9:00 PM

9:00 PM Social events: Social dinner
Social dinner
9:00 PM - 11:55 PM
Wednesday, September 25, 2024
9:00 AM Muography
9:00 AM - 10:00 AM
Contributions

9:00 AM Muon momentum estimation in scattering tomography - Florian Bury (University of Bristol)

9:20 AM Improving Material Identification in Muon Scattering Tomography with Machine Learning. - Angel Bueno Rodriguez (German Aerospace Center (DLR))

9:40 AM Muographic Image Up-Sampling with Machine Learning for Built Infrastructure Applications - William O'Donnell (University of Glasgow)
10:00 AM Computer Science
10:00 AM - 10:40 AM
Contributions

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

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

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

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

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

12:10 PM Automatic Differentiation of the Kokkos framework with Clad - Atell-Yehor Krasnopolski
12:30 PM 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 PM - 12:40 PM
12:40 PM Lunch break
Lunch break
12:40 PM - 2:20 PM
2:20 PM Medical Physics
2:20 PM - 3:40 PM
Contributions

2:20 PM PETAL-3D: A Novel 3D U-Net Approach for Ultra-Low-Dose PET Image Denoising - Ezzat Elmoujarkach (Universität zu Lübeck - Institute of Medical Engineering)

2:40 PM Neural Networks for inter-crystal scatter recovery in semi-monolithic PET detectors - Karol Brzezinski (IFIC (CSIC-UV))

3:00 PM Machine Learning Framework for Time Pick-Up of Nuclear Detector Signals - José Andrés Avellaneda González Not Supplied

3:20 PM Enhancing Compton Camera Imaging with Neural Networks - Javier Pérez Curbelo (Instituto de Física Corpuscular (IFIC) (CSCI-UV))
3:40 PM Coffee Break
Coffee Break
3:40 PM - 4:10 PM

4:10 PM Introduction: Closing session
Closing session
4:10 PM - 4:40 PM