Backward forward algorithm #845
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Added assignment and store-into-other NLR tests for every activation function.
0-2-0: Implementing layer simulations for every activation function.
0-2-1: Testing layer simulations for every activation function.
0-3-0: Implementing interval arithmetic for all activation functions.
0-3-1: Adding interval arithmetic tests for all activation functions.
…nction. 0-4-0: Implementing symbolic bound tightening for every activation function.
…tions. 0-4-1: Adding symbolic bound tightening tests for all activation functions.
0-5-0: Adding rounding constant for LP relaxation propagation.
… activation functions. 0-5-1: Implementing forward-backward LP propagation algorithm for all activation functions.
…n functions. 0-5-2: Adding forward-backward LP propagation tests for all activation functions.
0-5---3: Minor fix.
0-5--4: Another fix.
0-5---5: Fixing fix 0-5--4 for this branch.
0-5--6: Changes in Backward-Forward Algorithm: - Bug fixes: Sigmoid (wrong bias for bounds, unlike in DeepPoly), Softmax (missing two assignments lead to NaN values when bounds equal zero). - Improvements: Absolute Value, Round (stricter initial range for target variable). - Minor fixes: Bilinear (removed unnecessary epsilon and unused variable). Changes in SBT: - Same Bilinear minor fix.
wu-haoze
approved these changes
Dec 11, 2024
wu-haoze
approved these changes
Jan 21, 2025
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This probably needs a CHANGELOG entry? |
Fixed bug in node in command-line ONNX parser (NeuralNetworkVerification#858) (Sync Fork)
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Implemented Backward-Forward algorithm, symbolic bound tightening, interval arithmetic, simulations for all missing activation functions, and added unit tests for every combination of algorithm+activation.