First MODE Workshop on Differentiable Programming

6 Sept 2021, 12:00 → 8 Sept 2021, 17:35 Europe/Zurich

Auditorium CYCL-01 (CP3, Louvain-la-Neuve)

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)

Registrations are now closed.

In case of issues please contact Dr. Pietro Vischia at the email address below.

Overview of the sessions:

• Opening lecture:

  • Atilim Gunes Baydin (University of Oxford): Differentiable programming applications to design optimization

• Confirmed keynote lectures

  • Mikhail Belkin (Halıcıoğlu Data Science Institute, UCSD): Generalization properties of neural networks through the prism of interpolation

  • Adam Paszke (Google Brain): JAX for scientific computing

     

• 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)

 

This workshop is partially supported by the joint ECFA-NuPECC-APPEC Activities (JENAA).

This workshop is partially supported by National Science Foundation grant OAC-1836650 (IRIS-HEP).

Monday 6 September

Registration and COVID-safe QR code check

12:30 Welcome Lunch

Introduction and goals of the Workshop

Convener: Tommaso Dorigo (Universita e INFN, Padova (IT))

2021-09-06_modeWorkshop_1_TommasoDorigo.mp4

Opening of the workshop.pdf

Opening of the workshop.pptx

Opening and Keynote Lectures: Keynote Session: Differentiable Programming and Deep Learning

Convener: Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))

1 Opening Lecture: Differentiable programming and design optimization

Speaker: Atılım Güneş Baydin (University of Oxford)

2021-09-06_modeWorkshop_2_AtilimGunesBaydin.mp4

differentiable-programming-and-design-optimization (1).pdf

14:40 Discussion

14:50 Small break

2 Keynote Lecture: JAX for scientific computing

Speaker: Dr Adam Paszke (Google Brain)

2021-09-06_modeWorkshop_3_AdamPaszke.mp4

[MODE] JAX for scientific computing.pdf

15:45 Discussion

3 Keynote Lecture: Generalization Properties of Deep Neural Networks Through The Prism of Interpolation

Speaker: Prof. Mikhail Belkin (Halicioğlu Data Science Institute, UCSD)

2021-09-06_modeWorkshop_4_MikhailBelkin.mp4

slides(1).pdf

16:45 Discussion

16:55 Coffee Break

Applications in Muon Tomography

Convener: Andrea Giammanco (Universite Catholique de Louvain (UCL) (BE))

4 Machine Learning application to volcano eruption forecasting using muography

Speaker: Laszlo Olah (Hungarian Academy of Sciences (HU))

2021-09-06_modeWorkshop_5_LaszloOlah.mp4

202109_Olah_VolcanoEruptionForecasting_MODEWS(1).pdf

17:45 Discussion

5 Role of AI in the industrial applications of muon tomography

Speaker: Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))

2021-09-06_modeWorkshop_6_PabloMartinezRuizDelArbol.mp4

IAForIndustrialApplications.pdf

18:10 Discussion

6 Material identification in nuclear waste drums using muon scattering tomography and multivariate analysis

Speaker: Patrick Stowell (University of Sheffield)

2021-09-06_modeWorkshop_7_PatrickStowell.mp4

MODEWorkshopTalk_Stowell.pdf

18:35 Discussion

7 TomOpt: PyTorch-based Differential Muon Tomography Optimisation

Speaker: Giles Chatham Strong (Universita e INFN, Padova (IT))

2021-09-06_modeWorkshop_8_GilesChathamStrong.mp4

GSTD_ModeWS_06-09-21.pdf

19:10 Discussion

Tuesday 7 September

Applications in Particle Physics

Convener: Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))

8 Optimization of LHCb calorimeter

Speaker: Alexey Boldyrev (NRU Higher School of Economics (Moscow, Russia))

2021-09-06to08_modeWorkshop_09_AlexeyBoldyrev.mp4

MODE_workshop_09_2021_ECAL.pdf

09:20 Discussion

9 CMS Open data application of INFERNO

Speaker: Lukas Layer (Universita e INFN, Padova (IT))

2021-09-06to08_modeWorkshop_10_LukasLayer.mp4

llayer_inferno_v2.pdf

09:45 Discussion

10 Automatic Differentiation for error analysis in lattice QCD

Speaker: Alberto Ramos Martinez (Univ. of Valencia and CSIC (ES))

2021-09-06to08_modeWorkshop_11_AlbertoRamos.mp4

mode_ramos.pdf

10:10 Discussion

11 Optimization of HEP accelerators

Speaker: Auralee Linscott Edelen

2021-09-06to08_modeWorkshop_12_AuraleeLinscottEdelen.mp4

20210907_MODE_Edelen.pdf

10:35 Discussion

12 Generation of Calorimeter Showers with Normalizing Flows: CaloFlow

Speaker: Claudius Krause (Rutgers University)

2021-09-06to08_modeWorkshop_13_ClaudiusKrause.mp4

CaloFlow.C.Krause.pdf

11:00 Discussion

11:15 Coffee Break

Applications in Nuclear Physics

Convener: Gian Michele Innocenti (CERN)

13 DNN for distortion fluctuation calibration of ALICE TPC

Speaker: Maja Kabus (Warsaw University of Technology (PL))

2021-09-06to08_modeWorkshop_14_MajaKabus.mp4

Kabus_MODE.pdf

11:55 Discussion

14 Neural networks for jet-energy subtraction in heavy-ion collisions

Speaker: Laura Brittany Havener (Yale University (US))

DifferentialPrograming_HIBackground_Havener_noamin.pdf

12:20 Discussion

15 Deep learning stochastic processes with QCD phase transition

Speaker: Lingxiao Wang (Frankfurt Institute for Advanced Studies)

2021-09-06to08_modeWorkshop_16_LingxiaoWang.mp4

20210907MODE_langevin_lingxiao.pdf

12:45 Discussion

16 Machine Learning Applications for CBM at FAIR

Speaker: Shahid Khan (University of Tuebingen)

2021-09-06to08_modeWorkshop_17_ShahidKhan.mp4

Machine learning and deep learning for CBM at FAIR.pdf

Machine learning and deep learning for CBM at FAIR.pdf

Machine learning and deep learning for CBM at FAIR.pptx

13:10 Discussion

17 In-medium heavy-quark interaction via deep learning

Speaker: Shuzhe SHI (McGill University)

2021-09-06to08_modeWorkshop_18_ShuzheShi.mp4

Complex Potential.pdf

13:35 Discussion

13:40 Lunch

Applications in AstroHEP

Convener: Roberto Ruiz De Austri (Instituto de Fisica Corpuscular (ES))

18 Cosmology in the machine learning era

Speaker: Francisco Villaescusa-Navarro (OATS-INAF)

2021-09-06to08_modeWorkshop_19_FranciscoVillaescusaNavarro.mp4

MODE_September_2021.pdf

MODE_September_2021.pptx

14:50 Discussion

19 Gravitational Waves Detectors

Speaker: Dr Mateusz Bawaj (Università degli Studi di Perugia)

2021-09-06to08_modeWorkshop_20_MateuszBawaj.mp4

Bawaj_GW_detectors(1).pdf

15:15 Discussion

20 Optimization of Optical and Radio Detectors for high-energy Neutrinos

Speaker: Christian Glaser (RWTH Aachen)

2021-09-06to08_modeWorkshop_21_ChristianGlaser.mp4

IceCubeGen2_glaser.pdf

15:40 Discussion

21 Targeted dark matter substructure inference with differentiable strong lensing

Speaker: Adam Coogan (University of Amsterdam)

2021-09-06to08_modeWorkshop_22_AdamCoogan.mp4

amcoogan-lensing-mode-upload.key

amcoogan-lensing-mode-upload.pdf

16:05 Discussion

22 Cherenkov Telescopes

Speaker: Gernot Maier

2021-09-06to08_modeWorkshop_23_GernotMaier.mp4

Mode-CherenkovTelescopes.pdf

16:30 Discussion

16:35 Coffee Break and group photo

Applications in Neutrino Detection

Convener: Kazuhiro Terao (Columbia University)

23 AI In Neutrinoless Double Beta Decay Searches

Speaker: Corey Adams (Argonne National Laboratory)

2021-09-06to08_modeWorkshop_24_CoreyAdams.mp4

MODE-NEXT.pdf

17:20 Discussion

24 Machine Learning Techniques for Water Cherenkov Event Reconstruction

Speaker: Nick Prouse (Queen Mary University of London)

2021-09-06to08_modeWorkshop_25_NickProuse.mp4

MODE WatChMaL.pdf

17:45 Discussion

25 Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for 3D Particle Imaging Detectors

Speaker: François Drielsma (Universite de Geneve (CH))

2021-09-06to08_modeWorkshop_26_FrancoisDrielsma.mp4

drielsma_mode_lartpc_ml_reco_chain.pdf

18:10 Discussion

26 Dark matter and its ML-enhanced direct detection

Speaker: Christopher Tunnell (Rice University)

18:35 Discussion

27 P-ONE: Test Case for ML Based Detector Design

Speaker: Christian Haack (III. Physikalisches Institut B, RWTH Aachen University)

2021-09-06to08_modeWorkshop_28_ChristianHaack.mp4

PONE_MODE (1).pdf

19:00 Discussion

28 GENETIS: Evolving Antennas for Ultra-High Energy Neutrino Detection

Speaker: Alexander Machtay (Ohio State University)

2021-09-06to08_modeWorkshop_29_AlexMachtay.mp4

GENETIS_MODE_Presentation.pptx

19:20 Discussion

20:00 Social Dinner

Wednesday 8 September

Brainstorming, expressions of interest, definition of tasks and goals, whitepaper

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))

2021-09-08_SummaryHEPSessionAtFirstMODEWorkshop_vischia.pdf

Day 3 of the workshop.pdf

Day 3 of the workshop.pptx

MIMA_cherenkov_MODE_workshop.pdf

mode_astro_summary.pdf

MODE_MuColl.pdf

MODE_summary_neutrino.pdf

muography-mode-workshop2021-summary.pdf

White paper discussion.pdf

White paper discussion.pptx

11:00 Coffee Break

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))

2021-09-08_SummaryHEPSessionAtFirstMODEWorkshop_vischia.pdf

Day 3 of the workshop.pdf

Day 3 of the workshop.pptx

MIMA_cherenkov_MODE_workshop.pdf

mode_astro_summary.pdf

MODE_MuColl.pdf

MODE_summary_neutrino.pdf

muography-mode-workshop2021-summary.pdf

White paper discussion.pdf

White paper discussion.pptx

13:30 Lunch

Progress in Computer Science

Convener: Atılım Güneş Baydin (University of Oxford)

29 Gradient-based probabilistic inference in Pyro.ai

Speaker: Dr Fritz Obermeyer (Broad Institute)

Pyro @ MODE 2021.pdf

14:50 Discussion

30 Efficient and modular implicit differentiation

Speaker: Dr Mathieu Blondel (Google Brain)

jaxopt-slides.pdf

15:15 Discussion

15:20 Coffee Break

Progress in Computer Science: (continued)

Convener: Atılım Güneş Baydin (University of Oxford)

31 Neos: upstream optimization for downstream inference

Speaker: Nathan Daniel Simpson (Lund University (SE))

MODE_Sept21_Nathan_simpson_e2e.pdf

16:10 Discussion

32 CERN GRID on Kubernetes

Speaker: Lukas Alexander Heinrich (CERN)

16:35 Discussion

33 Quantum Machine Learning

Speaker: Su Yeon Chang (EPFL - Ecole Polytechnique Federale Lausanne (CH))

QuantumGAN.pdf

17:00 Discussion

Organization of Future Activities and Closing of the Workshop

Convener: Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))

2021-09-08_ClosingOfTheWorkshopAtFirstMODEWorkshop_vischia.pdf