The MODE Workshop series on Differentiable Programming for Experiment Design

Welcome to the reference page for the MODE workshop series on Differentiable Programming for Experiment Design by the MODE Collaboration.

Second MODE Workshop on Differentiable Programming for Experiment Design

Details

When:
The workshop is confirmed to take place on September 12th--16th, 2022 with a hybrid form (in person and online). If you plan to attend in person, you can find in the indico page linked below all information to register and book your travel.
We strongly favour in-person attendance, as we aim at recreating the spirit of a scientific retreat.

Where:
Orthodox Academy of Crete, Kolymbari Kissamos, ZIP 730 06 Chania, Crete, Greece (google maps)

Registrations are now open! You can register and find practical information on the Indico page of the event!!!

• We will have prizes for the best posters!
• We will have a Hackathon, under the form of a data challenge (dataset and submissions will open on August 1st), with prizes for the best solutions!
• We limited availability to provide financial support to some of the young participants, to cover part of the travel expenses and waiving of the conference fee: apply for support today (info on the indico page)

Minimal schedule

Will be upoaded soon.

• 12 September 2022: arrival day (evening, includes dinner)
• 13--15 September 2022: workshop sessions
• 16 September 2022: departure day (morning, includes breakfast)

First MODE Workshop on Differentiable Programming for Experiment Design

Details

When:
The workshop is confirmed to take place on September 6th--8th, 2021 with a hybrid form (in person and online). If you plan to attend in person, you can find in the indico page linked below all information to register and book your travel.

Where:
Auditorium Cyclotron 01, CP3, Université catholique de Louvain, Chemin du Cyclotron, 2, B1348 Louvain-la-Neuve, Belgium (google maps)

The full schedule, including PDFs and recordings of the talks, can be found at the Indico page of the event!!!

Final Program

September 6th, afternoon:

• 14:00-14:25 Introduction and goals of the workshop (Tommaso Dorigo, INFN-PD)
• 14:25-16:30 Keynote session: differentiable programming and deep learning (chair: Pietro Vischia, UCLouvain)
• Opening lecture: Atilim Gunes Baydin (University of Oxford): Differentiable programming applications to design optimization
• Keynote lecture: Mikhail Belkin (Halıcıoğlu Data Science Institute, UCSD): Generalization properties of neural networks)
• Keynote lecture: Adam Paszke (Google Brain): Title TBA
• 16:30-17:00 break
• 17:00-19:00 Applications in muon tomography (chair: Andrea Giammanco, UCLouvain)
• Laszlo Olah (University of Tokyo): Machine Learning Application to volcano eruption forecasting using muography
• Pablo Martínez Ruiz del Árbol (IFCA): Role of AI in the industrial applications of muon tomography
• Patrick Stowell (Durham University): Material identification in nuclear waste drums using muon scattering tomography and multivariate analysis
• Giles Chatham Strong (INFN Padova): TomOpt: PyTorch-based Differential Muon Tomography Optimisation

September 7th, morning:

• 08:30-11:00 Applications and requirements for particle physics (chair: Pietro Vischia, UCLouvain)
• Alexey Boldyrev (HSE): Optimization of the LHCb Calorimeters
• Claudius Krause (Rutgers University): CaloFlow
• Auralee Linscott Edelen (Stanford University): Optimization of HEP Accelerators
• Lukas Layer (INFN Padova): CMS Open Data Application of INFERNO
• Alberto Ramos Martínez (IFIC): Automatic Differentiation for error analysis in lattice QCD
• 11:00-11:30 break
• 11:30-13:30 Applications and requirements in nuclear physics experiments (chair: Gian Michele Innocenti, CERN)
• Maja Kabus (CERN): DNN for distortion fluctuation calibration of ALICE TPC
• Laura Brittany Havener (Yale University): Neural Networks for jet-energy subtraction in heavy-ion collisions
• Shuzhe Shi (McGill University): In-medium heavy-quark interaction via deep learning
• Shahid Khan (GSI): Deep Learning and Machine Learning at CBM, Fair
• Lingxiao Wang (Goethe-Universität Frankfurt): Deep learning stochastic processes with QCD phase transition

September 7th, afternoon

• 14:30-16:30 Applications and requirements in astro-HEP (chair: Roberto Ruiz de Austri Bazan, IFIC Valencia)
• Francisco Villaescusa-Navarro (Princeton University): Astrophysics and Cosmology
• Mateusz Bawaj (Università di Perugia): Gravitational Waves Detectors
• Christian Glaser (Uppsala Universitet): Radio Arrays
• Adam Coogan (Universiteit van Amsterdam): Strong Lensing
• Gernot Maier (DESY): Cherenkov Telescopes
• 16:30-17:00 break
• 17:00-19:00 Applications and requirements for neutrino detectors (chair: Kazuhiro Terao, Columbia U.)
• Corey Adams (Argonne National Laboratory): Machine Learning in 0nuBB Experiments
• Nick Prouse (TRIUMF): Water Cherenkov Neutrino Detectors
• François Drielsma (Stanford University): TPC Neutrino Detectors
• Christopher Tunnel (Rice University): Direct-detection Dark Matter
• Christian Haack (Technische Universität München): Machine learning approaches at P-One

September 8th, morning

• 09:00-13:00 Brainstorming and specification of tasks and goals of the working groups (chairs: P. Vischia, A. Giammanco, T. Dorigo)

September 8th, afternoon

• 14:30-15:30 Progress in Computer Science Part 1 (chair: Atilim Gunes Baydin, U. Oxford)
• Fritz Obermeyer (Broad Institute): Gradient-based Probabilistic inference in Pyro.ai
• Mathieu Blondel (Google Brain): Efficient and modular implicit differentiation
• 15:30-16:00 break
• 16:00-17:00 Progress in Computer Science Part 2 (chair: Atilim Gunes Baydin, U. Oxford)
• Nathan Daniel Simpson (Lund University): Neos, upstream optimization for downstream inference
• Lukas Heinrich (CERN): CERN GRID on Kubernetes
• Su Yeon Chang (EPFL): Quantum Machine Learning
• 17:00-17:30 Organization of future activities and closing of the workshop (chair: Pietro Vischia, UCLouvain)

Organizing Committee

• Pietro Vischia (UCLouvain)
• Christophe Delaere (UCLouvain)
• Tommaso Dorigo (INFN-PD)
• Andrea Giammanco (UCLouvain)
• Giles Strong (INFN-PD)
• Carine Baras (secretariat) (UCLouvain)
• Carinne Mertens (secretariat) (UCLouvain)

Scientific Advisory Committee

• Kyle Cranmer (New York U., HEP/ML)
• Julien Donini (U. Clermont Auvergne, HEP)
• Andrea Giammanco (U. Cath. Louvain, HEP/Muon Tomography)
• Atilim Gunes Baydin (Oxford U., CS)
• Piero Giubilato (U. Padova, hadron therapy)
• Gian Michele Innocenti (CERN, nuclear physics/ML)
• Michael Kagan (SLAC, HEP/CS)
• Riccardo Rando (. Padova, astro-HEP)
• Roberto Ruiz de Austri Bazan (IFIC Valencia, astro-HEP)
• Kazuhiro Terao (Columbia U., neutrino/ML)
• Andrey Ustyuzhanin (Higher School of Economics, Nat. Res. Univ. Moscow, CS)
• Christoph Weniger (U. Amsterdam, astro-HEP)

Sponsors

This workshop is sponsored by JENAA and by IRIS-HEP! We thank both organizations for their kind support!!!

Code of Conduct

We will abide by the IRIS-HEP code of conduct: complaints can be sent to any member of the MODE Workshop organizing committee