First MODE Workshop on Differentiable Programming
→
Europe/Zurich
Auditorium CYCL-01 (CP3, Louvain-la-Neuve)
Auditorium CYCL-01
CP3, Louvain-la-Neuve
CP3, Université catholique de Louvain,
Chemin du Cyclotron, 2, B1348 Louvain-la-Neuve,
Belgium
Google maps: https://goo.gl/maps/qwpBmVebZK3XNvEi7
Pietro Vischia
(Universite Catholique de Louvain (UCL) (BE)),
Christophe Delaere
(Universite Catholique de Louvain (UCL) (BE)),
Tommaso Dorigo
(Universita e INFN, Padova (IT)),
Andrea Giammanco
(Universite Catholique de Louvain (UCL) (BE)),
Giles Chatham Strong
(Universita e INFN, Padova (IT)),
Carine Baras (secretariat)
(Université catholique de Louvain),
Carinne Mertens (secretariat)
(Université catholique de Louvain)
Description
Registrations are now closed.
In case of issues please contact Dr. Pietro Vischia at the email address below.
Overview of the sessions:
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Opening lecture:
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Atilim Gunes Baydin (University of Oxford): Differentiable programming applications to design optimization
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Confirmed keynote lectures
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Mikhail Belkin (Halıcıoğlu Data Science Institute, UCSD): Generalization properties of neural networks through the prism of interpolation
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Adam Paszke (Google Brain): JAX for scientific computing
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- Applications in muon tomography
- Progress in Computer Science
- Applications and requirements for particle physics
- Applications and requirements in astro-HEP
- Applications and requirements for neutrino detectors
- Applications and requirements in nuclear physics experiments
- Discussion on the status and needs of the discipline (one parallel session per each of the other sessions)
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)
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This workshop is partially supported by the joint ECFA-NuPECC-APPEC Activities (JENAA). |
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This workshop is partially supported by National Science Foundation grant OAC-1836650 (IRIS-HEP). |
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Participants
105
View full list
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Registration and COVID-safe QR code check
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12:30
Welcome Lunch
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Introduction and goals of the WorkshopConvener: Tommaso Dorigo (Universita e INFN, Padova (IT))
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Opening and Keynote Lectures: Keynote Session: Differentiable Programming and Deep LearningConvener: Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))
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1
Opening Lecture: Differentiable programming and design optimizationSpeaker: Atılım Güneş Baydin (University of Oxford)
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14:40
Discussion
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14:50
Small break
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2
Keynote Lecture: JAX for scientific computingSpeaker: Dr Adam Paszke (Google Brain)
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15:45
Discussion
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3
Keynote Lecture: Generalization Properties of Deep Neural Networks Through The Prism of InterpolationSpeaker: Prof. Mikhail Belkin (Halicioğlu Data Science Institute, UCSD)
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16:45
Discussion
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1
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16:55
Coffee Break
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Applications in Muon TomographyConvener: Andrea Giammanco (Universite Catholique de Louvain (UCL) (BE))
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4
Machine Learning application to volcano eruption forecasting using muographySpeaker: Laszlo Olah (Hungarian Academy of Sciences (HU))
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17:45
Discussion
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5
Role of AI in the industrial applications of muon tomographySpeaker: Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))
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18:10
Discussion
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6
Material identification in nuclear waste drums using muon scattering tomography and multivariate analysisSpeaker: Patrick Stowell (University of Sheffield)
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18:35
Discussion
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7
TomOpt: PyTorch-based Differential Muon Tomography OptimisationSpeaker: Giles Chatham Strong (Universita e INFN, Padova (IT))
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19:10
Discussion
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4
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Applications in Particle PhysicsConvener: Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))
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8
Optimization of LHCb calorimeterSpeaker: Alexey Boldyrev (NRU Higher School of Economics (Moscow, Russia))
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09:20
Discussion
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9
CMS Open data application of INFERNOSpeaker: Lukas Layer (Universita e INFN, Padova (IT))
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09:45
Discussion
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10
Automatic Differentiation for error analysis in lattice QCDSpeaker: Alberto Ramos Martinez (Univ. of Valencia and CSIC (ES))
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10:10
Discussion
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11
Optimization of HEP acceleratorsSpeaker: Auralee Linscott Edelen
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10:35
Discussion
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12
Generation of Calorimeter Showers with Normalizing Flows: CaloFlowSpeaker: Claudius Krause (Rutgers University)
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11:00
Discussion
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8
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11:15
Coffee Break
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Applications in Nuclear PhysicsConvener: Gian Michele Innocenti (CERN)
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13
DNN for distortion fluctuation calibration of ALICE TPCSpeaker: Maja Kabus (Warsaw University of Technology (PL))
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11:55
Discussion
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14
Neural networks for jet-energy subtraction in heavy-ion collisionsSpeaker: Laura Brittany Havener (Yale University (US))
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12:20
Discussion
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15
Deep learning stochastic processes with QCD phase transitionSpeaker: Lingxiao Wang (Frankfurt Institute for Advanced Studies)
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12:45
Discussion
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16
Machine Learning Applications for CBM at FAIRSpeaker: Shahid Khan (University of Tuebingen)
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13:10
Discussion
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17
In-medium heavy-quark interaction via deep learningSpeaker: Shuzhe SHI (McGill University)
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13:35
Discussion
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13
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13:40
Lunch
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Applications in AstroHEPConvener: Roberto Ruiz De Austri (Instituto de Fisica Corpuscular (ES))
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18
Cosmology in the machine learning eraSpeaker: Francisco Villaescusa-Navarro (OATS-INAF)
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14:50
Discussion
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19
Gravitational Waves DetectorsSpeaker: Dr Mateusz Bawaj (Università degli Studi di Perugia)
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15:15
Discussion
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20
Optimization of Optical and Radio Detectors for high-energy NeutrinosSpeaker: Christian Glaser (RWTH Aachen)
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15:40
Discussion
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21
Targeted dark matter substructure inference with differentiable strong lensingSpeaker: Adam Coogan (University of Amsterdam)
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16:05
Discussion
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22
Cherenkov TelescopesSpeaker: Gernot Maier
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16:30
Discussion
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18
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16:35
Coffee Break and group photo
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Applications in Neutrino DetectionConvener: Kazuhiro Terao (Columbia University)
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23
AI In Neutrinoless Double Beta Decay SearchesSpeaker: Corey Adams (Argonne National Laboratory)
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17:20
Discussion
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24
Machine Learning Techniques for Water Cherenkov Event ReconstructionSpeaker: Nick Prouse (Queen Mary University of London)
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17:45
Discussion
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25
Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for 3D Particle Imaging DetectorsSpeaker: François Drielsma (Universite de Geneve (CH))
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18:10
Discussion
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26
Dark matter and its ML-enhanced direct detectionSpeaker: Christopher Tunnell (Rice University)
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18:35
Discussion
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27
P-ONE: Test Case for ML Based Detector DesignSpeaker: Christian Haack (III. Physikalisches Institut B, RWTH Aachen University)
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19:00
Discussion
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28
GENETIS: Evolving Antennas for Ultra-High Energy Neutrino DetectionSpeaker: Alexander Machtay (Ohio State University)
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19:20
Discussion
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23
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20:00
Social Dinner
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Brainstorming, expressions of interest, definition of tasks and goals, whitepaperConveners: Andrea Giammanco (Universite Catholique de Louvain (UCL) (BE)), Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE)), Tommaso Dorigo (Universita e INFN, Padova (IT))
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11:00
Coffee Break
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Brainstorming, expressions of interest, definition of tasks and goals, whitepaper: (continued)Conveners: Andrea Giammanco (Universite Catholique de Louvain (UCL) (BE)), Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE)), Tommaso Dorigo (Universita e INFN, Padova (IT))
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13:30
Lunch
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Progress in Computer ScienceConvener: Atılım Güneş Baydin (University of Oxford)
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29
Gradient-based probabilistic inference in Pyro.aiSpeaker: Dr Fritz Obermeyer (Broad Institute)
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14:50
Discussion
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30
Efficient and modular implicit differentiationSpeaker: Dr Mathieu Blondel (Google Brain)
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15:15
Discussion
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29
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15:20
Coffee Break
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Progress in Computer Science: (continued)Convener: Atılım Güneş Baydin (University of Oxford)
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31
Neos: upstream optimization for downstream inferenceSpeaker: Nathan Daniel Simpson (Lund University (SE))
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16:10
Discussion
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32
CERN GRID on KubernetesSpeaker: Lukas Alexander Heinrich (CERN)
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16:35
Discussion
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33
Quantum Machine LearningSpeaker: Su Yeon Chang (EPFL - Ecole Polytechnique Federale Lausanne (CH))
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17:00
Discussion
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31
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Organization of Future Activities and Closing of the WorkshopConvener: Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))
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