Recent Releases of lp_nn_robustness_verification
lp_nn_robustness_verification - v0.8.0
Feature
- CITATION: Introduce reference to PySCIPOpt and data (
4c1d4bb) - timing_evaluation notebook: Introduce timing evaluation in jupyter notebook (
a84e2cf)
Fix
- pre_processing: Replace zi by thetai in the calculation of xi_i (
cc1d9c8) - Adapt all calls of ZeMASamples to most recent version v0.7.0 of zemaemcannotated (
6807f6b)
Documentation
- timing_evaluation notebook: Introduce timing evaluation jupyter notebook (
56e7bcb)
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- Jupyter Notebook
Published by BjoernLudwigPTB over 3 years ago
lp_nn_robustness_verification - v0.7.0
Feature
- pre_processing: Utilize timing module in pre-processing (
c7926cb) - timing: Introduce module to time and store progress (
dddd24d)
Documentation
- timing: Introduce timing module into docs (
5670c98)
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- Jupyter Notebook
Published by BjoernLudwigPTB over 3 years ago
lp_nn_robustness_verification - v0.6.1
Fix
- linear_program: Remove any clutter from linear_program after finding same results in all cases (
e4d1f2f) - INSTALL.md: Fix a bunch of formatting and information issues (
8a1522b)
Documentation
- examples: Introduce all examples code into docs (
5d4ddd3)
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Published by BjoernLudwigPTB over 3 years ago
lp_nn_robustness_verification - v0.6.0
Feature
- CITATION.cff: Introduce DOI (
942bea6)
Fix
- README: Finalize README with mandatory sections (
0c6d01b)
Documentation
- INSTALL: Finalize installation instructions (
cf66be8) - README: Introduce DOI and GitHub release badge (
52f2477)
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- Jupyter Notebook
Published by BjoernLudwigPTB over 3 years ago
lp_nn_robustness_verification - v0.5.0
Feature
- activation_functions: Introduce Identity activation function (
9dac464) - linear_program: Replace auxiliary variable by direct objective and thus fix residing issue (
27021f4) - linear_program: Introduce generic base class and two classes for original and adapted problem (
a17389e) - data_types: Introduce IndexAndSeed data_type for streamlined implementation of example (
03c5123) - examples: Introduce task id parameter to parallelize and streamline implementation (
e82582b) - examples: Introduce script to find valid combinations of seeds, samples, sizes and depths (
954d204) - data_types: Capture the index of the valid samples from the ZeMA dataset (
c50a8f6)
Documentation
- linear_inclusion notebook: Update with most recent version of zemaemcannotated (
10e9b69)
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- Jupyter Notebook
Published by BjoernLudwigPTB over 3 years ago