[IEEE Trans. Ind. Inform.] Official implementation for "Synergistic Physics-Data Constrained Diffusion Model for Surface Thermal Management of Press-Pack IGCTs"
-
Updated
Jun 17, 2026 - Python
#
gradient-based-optimization
Here are 4 public repositories matching this topic...
Explainable AI for time series: gradient-based counterfactual generation for the non-differentiable Random Shapelet Forest, using PyTorch surrogate models (Feedforward, LSTM, CNN, Transformer) and a Streamlit UI. Research internship, DSV — Stockholm University.
pythondockermachine-learningresearchdeep-learningtime-seriesscikit-learncnnpytorchtransformerlstmshapeletstime-series-classificationexplainable-aixaiinterpretable-machine-learningsurrogate-modelcounterfactual-explanationsstreamlitgradient-based-optimization
-
Updated
Apr 16, 2026 - Python
Build and optimize complex programs and algorithms using gradient-based methods through differentiable programming.
automatic-differentiationgradient-descentalgorithm-learningdifferentiabledifferentiable-programminggradient-based-optimization
-
Updated
Nov 4, 2025 - Python
Physics-based AI optimization for inverse design: benchmarking gradient-based vs gradient-free optimizers on a fully differentiable JAX FEM for magnetic components
optimizationfinite-element-methodmagneticsjaxdifferentiable-programminggradient-free-optimizationphysics-informedinverse-designdifferentiable-physicsai-for-sciencegradient-based-optimizationphysics-based-ai
-
Updated
Aug 12, 2026 - Python
Improve this page
Add a description, image, and links to the gradient-based-optimization topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gradient-based-optimization topic, visit your repo's landing page and select "manage topics."