Login

Second MODE Workshop on Differentiable Programming for Experiment Design

12–16 Sept 2022
OAC conference center, Kolymbari, Crete, Greece.
Europe/Athens timezone

Contact

Session

Progress in Computer Science

13 Sept 2022, 18:20
OAC conference center, Kolymbari, Crete, Greece.

OAC conference center, Kolymbari, Crete, Greece.

Conveners

Progress in Computer Science

  • Nicolas Gauger (Technische Universität Kaiserslautern)

Progress in Computer Science

  • Nicolas Gauger (Technische Universität Kaiserslautern)

Progress in Computer Science

  • Nicolas Gauger (Technische Universität Kaiserslautern)

Presentation materials

There are no materials yet.

  1. 44. Differentiable Programming on relational languages.
    Paul Peseux (Université de Rouen)
    13/09/2022, 18:20
    Computer Science
    Talk

    Many acquired data are inherently relational: human or automated annotations create high value relational data. For example, a planet might belong to a stellar system which has a star of a certain type. This stellar system belongs to a galaxy which also has its own type (Fig.1).

    Relational programming languages are the right tools to handle these strong structured data. Our...

    Go to contribution page
  2. 55. In-Situ Range Verification for Particle Therapy Based on Secondary Charged Particles
    Alexander Schilling (University of Applied Sciences Worms)
    13/09/2022, 18:45
    Computer Science
    Talk

    Radiation therapy using protons or heavier ions is sensitive to range errors caused by misalignment of the patient, changes in patient anatomy, and uncertainties in treatment planning. It is therefore of the utmost importance to ensure treatment quality through range verification. Determining the position of the Bragg peak inside the patient can be done through various means such as prompt...

    Go to contribution page
  3. 56. Towards Neural Charged Particle Tracking in Proton Computed Tomography with Reinforcement Learning
    Tobias Kortus
    13/09/2022, 19:10
    Computer Science
    Talk

    Proton computed tomography (pCT) is an emerging imaging modality, receiving increasing importance for treatment planning in hadron therapy. One of the core challenges in the reconstruction pipeline for the high-granularity Bergen pCT Digital Tracking Calorimeter (DTC) prototype is the efficient reconstruction of high-multiplicity proton traces throughout the scanner which, in contrast to...

    Go to contribution page
  4. 53. Towards Algorithmic Differentiation of GATE/Geant4
    Max Aehle
    13/09/2022, 19:35
    Computer Science
    Talk

    Simulations of the detection process are an essential step in the
    assessment of a proposed detector design. Often, complex Monte-Carlo
    simulators with a wide range of applications are employed for this
    task, as they provide the most realistic and adaptable computational
    models for the interactions between particles and the detector. For
    instance, the Bergen pCT collaboration develops a...

    Go to contribution page
  5. 43. Automatic Differentiation in ROOT
    Garima Singh (Princeton University (US))
    14/09/2022, 16:40
    Computer Science
    Talk

    Automatic Differentiation is a powerful technique to evaluate the derivative of a function specified by a computer program. Thanks to the ROOT interpreter, Cling, this technique is available in ROOT for computing gradients and Hessian matrices of multi-dimensional functions.
    We will present the current integration of this tool in the ROOT Mathematical libraries for computing gradients of...

    Go to contribution page
  6. 87. Differentiable Programming and the IRIS-HEP Analysis Grand Challenge
    Gordon Watts (University of Washington (US))
    14/09/2022, 17:05
    Talk

    The IRIS-HEP Analysis Grand Challenge (AGC) seeks to build and test a fully representative HL-LHC analysis based around new analysis tools being developed within IRIS-HEP and by others. The size of the HL-LHC datasets is expected to require fully distributed analyses sometimes sourcing 100’s of TB of data or event, later in the HL-LHC, PB-sized datasets. This talk will give a brief overview of...

    Go to contribution page
  7. 63. Speeding up differentiable programming with a Computer Algebra System
    Mr Remco de Boer (Ruhr University Bochum)
    14/09/2022, 17:30
    Computer Science
    Talk

    In the ideal world, we describe our models with recognizable mathematical expressions and directly fit those models to large data sample with high performance. It turns out that this can be done with a CAS, using its symbolic expression trees as template to computational back-ends like JAX. The CAS can in fact further simplify the expression tree, which results in speed-ups in the numerical...

    Go to contribution page
  8. 54. Quantification of Uncertainties in a Model-Based Iterative Reconstruction Algorithm for Proton Computed Tomography
    Lisa Kusch (TU Kaiserslautern)
    15/09/2022, 11:10
    Computer Science
    Talk

    Proton computed tomography (pCT) is a medical imaging modality with the potential to improve the accuracy of treatment planning for proton-beam radiotherapy. It produces a three-dimensional image of the relative stopping power (RSP) distribution inside an object, given a list of positions and directions of protons before and after passing through the object, along with the corresponding energy...

    Go to contribution page
  9. 62. Synthesization of Fast Gradients with Enzyme
    William Moses (Massachusetts Institute of Technology)
    15/09/2022, 11:35
    Computer Science
    Talk

    The synthesization of fast reverse- and forward-mode gradients is the key to many algorithms in scientific computing such as meta-learning, optimization, uncertainty quantification, stability analysis, machine learning-accelerated simulations, and end-to-end learning. Enzyme is an automatic differentiation tool which in difference to other tools is built into the LLVM compiler toolchain to be...

    Go to contribution page
Building timetable...