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Showing 1 to 9 of 9 for “"Differentiable Programming"”.

  1. The Taichi High-Performance and Differentiable Programming Language for Sparse and Quantized Visual Computing

    Using traditional programming languages such as C++ and CUDA, writing high-performance visual computing code is often laborious and requires deep expertise in performance engineering. This implies an undesirable trade-off between performance and productivity. Emerging visual computing workloads …

    mit Repository record for The Taichi High-Performance and Differentiable Programming Language for Sparse and Quantized Visual Computing (opens in a new tab)

  2. Learning-Based Modeling of Weather and Climate Events Related To El Niño Phenomenon via Differentiable Programming and Empirical Decompositions

    … methods lack. The main methods explored are 1) differentiable Programming, as a means of construction of novel self-learning models through which the meaningfulness of parameters arises from emergent phenomenon and 2) empirical decompositions, which are driven by an adaptive rather than rigid …

    chapman Repository record for Learning-Based Modeling of Weather and Climate Events Related To El Niño Phenomenon via Differentiable Programming and Empirical Decompositions (opens in a new tab)

  3. Higher-Order Automatic Differentiation and Its Applications

    Differentiable programming is a new paradigm for modeling and optimization in many fields of science and engineering, and automatic differentiation (AD) algorithms are at the heart of differentiable programming. Existing methods to achieve higher-order AD often suffer from one or more of the …

    mit Repository record for Higher-Order Automatic Differentiation and Its Applications (opens in a new tab)

  4. Language Evolution for Parallel and Scientific Computing

    … a decades’ long dream of both scientists and programming language designers to make the development for and usage of high-performance computing easier. Many attempts have failed, perhaps because this is a hard problem, perhaps because the social motivation and the required steps to achieve …

    mit Repository record for Language Evolution for Parallel and Scientific Computing (opens in a new tab)

  5. Computational illumination for portrait photography and inverse graphics

    … a novel formulation for fast and accurate differentiable rendering based on analytical anti-aliasing. It is demonstrated how this renderer can be used for inverse graphics problems. The thesis concludes with a discussion on how differentiable programming can be combinded with data-driven …

    mit Repository record for Computational illumination for portrait photography and inverse graphics (opens in a new tab)

  6. Advanced Reconstruction Techniques for CUORE: Searching Beyond the Standard Model with Cryogenic Calorimeters

    … − 1/5 that of an electron. Lastly, we introduce differentiable programming methods for the end-to-end training of neural ordinary differential equations to model thermal pulse dynamics within CUORE calorimeter channels. These methods and results improve understanding of detector response, enable …

    mit Repository record for Advanced Reconstruction Techniques for CUORE: Searching Beyond the Standard Model with Cryogenic Calorimeters (opens in a new tab)

  7. From efficient high-order methods to scientific machine learning.

    … algorithms. Lastly, we introduce Torchfire, a differentiable programming interface that combines PyTorch and Firedrake to perform model-constrained deep learning of solutions of parameterized PDEs and PDE-constrained inverse problems. It leverages PyTorch's high-level interface for training …

    tdl Repository record for From efficient high-order methods to scientific machine learning. (opens in a new tab)

  8. From efficient high-order methods to scientific machine learning.

    … algorithms. Lastly, we introduce Torchfire, a differentiable programming interface that combines PyTorch and Firedrake to perform model-constrained deep learning of solutions of parameterized PDEs and PDE-constrained inverse problems. It leverages PyTorch's high-level interface for training …

    baylor Repository record for From efficient high-order methods to scientific machine learning. (opens in a new tab)

  9. Static analysis of differentiable programs

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms

    uiuc Repository record for Static analysis of differentiable programs (opens in a new tab)