Name: First MODE Workshop on Differentiable Programming
Start: 2021-09-06T12:00:00+02:00
End: 2021-09-08T17:35:00+02:00
Location: CP3, Louvain-la-Neuve

First MODE Workshop on Differentiable Programming

from Monday, September 6, 2021 (12:00 PM) to Wednesday, September 8, 2021 (5:35 PM)

Monday, September 6, 2021

12:00 PM

12:00 PM - 12:30 PM
Room: Auditorium CYCL-01

12:30 PM Welcome Lunch
Welcome Lunch
12:30 PM - 1:30 PM
Room: Auditorium CYCL-01

1:30 PM Introduction and goals of the Workshop
Introduction and goals of the Workshop
1:30 PM - 1:55 PM
Room: Auditorium CYCL-01
1:55 PM Keynote Session: Differentiable Programming and Deep Learning
Keynote Session: Differentiable Programming and Deep Learning
1:55 PM - 4:55 PM
Room: Auditorium CYCL-01
Contributions

1:55 PM Opening Lecture: Differentiable programming and design optimization - Atılım Güneş Baydin (University of Oxford)

2:55 PM Keynote Lecture: JAX for scientific computing - Adam Paszke (Google Brain)

3:55 PM Keynote Lecture: Generalization Properties of Deep Neural Networks Through The Prism of Interpolation - Mikhail Belkin (Halicioğlu Data Science Institute, UCSD)
4:55 PM Coffee Break
Coffee Break
4:55 PM - 5:25 PM
Room: Auditorium CYCL-01
5:25 PM Applications in Muon Tomography
Applications in Muon Tomography
5:25 PM - 7:20 PM
Room: Auditorium CYCL-01
Contributions

5:25 PM Machine Learning application to volcano eruption forecasting using muography - Laszlo Olah (Hungarian Academy of Sciences (HU))

5:50 PM Role of AI in the industrial applications of muon tomography - Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))

6:15 PM Material identification in nuclear waste drums using muon scattering tomography and multivariate analysis - Patrick Stowell (University of Sheffield)

6:40 PM TomOpt: PyTorch-based Differential Muon Tomography Optimisation - Giles Chatham Strong (Universita e INFN, Padova (IT))
Tuesday, September 7, 2021
9:00 AM Applications in Particle Physics
Applications in Particle Physics
9:00 AM - 11:10 AM
Room: Auditorium CYCL-01
Contributions

9:00 AM Optimization of LHCb calorimeter - Alexey Boldyrev (NRU Higher School of Economics (Moscow, Russia))

9:25 AM CMS Open data application of INFERNO - Lukas Layer (Universita e INFN, Padova (IT))

9:50 AM Automatic Differentiation for error analysis in lattice QCD - Alberto Ramos Martinez (Univ. of Valencia and CSIC (ES))

10:15 AM Optimization of HEP accelerators - Auralee Linscott Edelen

10:40 AM Generation of Calorimeter Showers with Normalizing Flows: CaloFlow - Claudius Krause (Rutgers University)
11:15 AM Coffee Break
Coffee Break
11:15 AM - 11:35 AM
Room: Auditorium CYCL-01
11:35 AM
11:35 AM - 1:40 PM
Room: Auditorium CYCL-01
Contributions

11:35 AM DNN for distortion fluctuation calibration of ALICE TPC - Maja Kabus (Warsaw University of Technology (PL))

12:00 PM Neural networks for jet-energy subtraction in heavy-ion collisions - Laura Brittany Havener (Yale University (US))

12:25 PM Deep learning stochastic processes with QCD phase transition - Lingxiao Wang (Frankfurt Institute for Advanced Studies)

12:50 PM Machine Learning Applications for CBM at FAIR - Shahid Khan (University of Tuebingen)

1:15 PM In-medium heavy-quark interaction via deep learning - Shuzhe SHI (McGill University)
1:40 PM Lunch
Lunch
1:40 PM - 2:30 PM
Room: Auditorium CYCL-01
2:30 PM
2:30 PM - 4:35 PM
Room: Auditorium CYCL-01
Contributions

2:30 PM Cosmology in the machine learning era - Francisco Villaescusa-Navarro (OATS-INAF)

2:55 PM Gravitational Waves Detectors - Mateusz Bawaj (Università degli Studi di Perugia)

3:20 PM Optimization of Optical and Radio Detectors for high-energy Neutrinos - Christian Glaser (RWTH Aachen)

3:45 PM Targeted dark matter substructure inference with differentiable strong lensing - Adam Coogan (University of Amsterdam)

4:10 PM Cherenkov Telescopes - Gernot Maier
4:35 PM Coffee Break and group photo
Coffee Break and group photo
4:35 PM - 5:00 PM
Room: Auditorium CYCL-01
5:00 PM
5:00 PM - 7:25 PM
Room: Auditorium CYCL-01
Contributions

5:00 PM AI In Neutrinoless Double Beta Decay Searches - Corey Adams (Argonne National Laboratory)

5:25 PM Machine Learning Techniques for Water Cherenkov Event Reconstruction - Nick Prouse (Queen Mary University of London)

5:50 PM Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for 3D Particle Imaging Detectors - François Drielsma (Universite de Geneve (CH))

6:15 PM Dark matter and its ML-enhanced direct detection - Christopher Tunnell (Rice University)

6:40 PM P-ONE: Test Case for ML Based Detector Design - Christian Haack (III. Physikalisches Institut B, RWTH Aachen University)

7:05 PM GENETIS: Evolving Antennas for Ultra-High Energy Neutrino Detection - Alexander Machtay (Ohio State University)
8:00 PM Social Dinner
Social Dinner
8:00 PM - 10:00 PM
Room: Auditorium CYCL-01
Wednesday, September 8, 2021

10:00 AM

10:00 AM - 11:00 AM
Room: Auditorium CYCL-01

11:00 AM Coffee Break
Coffee Break
11:00 AM - 11:30 AM
Room: Auditorium CYCL-01

11:30 AM (continued)
(continued)
11:30 AM - 1:30 PM
Room: Auditorium CYCL-01

1:30 PM Lunch
Lunch
1:30 PM - 2:30 PM
Room: Auditorium CYCL-01
2:30 PM
2:30 PM - 3:20 PM
Room: Auditorium CYCL-01
Contributions

2:30 PM Gradient-based probabilistic inference in Pyro.ai - Fritz Obermeyer (Broad Institute)

2:55 PM Efficient and modular implicit differentiation - Mathieu Blondel (Google Brain)
3:20 PM Coffee Break
Coffee Break
3:20 PM - 3:50 PM
Room: Auditorium CYCL-01
3:50 PM (continued)
(continued)
3:50 PM - 5:05 PM
Room: Auditorium CYCL-01
Contributions

3:50 PM Neos: upstream optimization for downstream inference - Nathan Daniel Simpson (Lund University (SE))

4:15 PM CERN GRID on Kubernetes - Lukas Alexander Heinrich (CERN)

4:40 PM Quantum Machine Learning - Su Yeon Chang (EPFL - Ecole Polytechnique Federale Lausanne (CH))
5:05 PM

5:05 PM - 5:35 PM
Room: Auditorium CYCL-01

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