v0.6.0

ExplainableAI v0.6.0

Diff since v0.5.7

Closed issues:

• Add LRP support for Parallel layer (#10)
• Document use of LoopVectorization.jl and CUDA.jl (#64)
• Add LRP support for nested Chains (#90)
• Add generalized Gamma rule (#91)
• Rename composite primitives (#120)
• Add composite primitive to assign rule at specific position in model (#121)
• Support BatchNorm layers in LRP (#122)
• Refactor results struct (#123)
• Add Aqua.jl tests (#124)
• Update canonizer to support nested Flux Chains (#132)
• Update documentation for v0.6.0 release (#133)

Merged pull requests:

• Add GeneralizedGammaRule (#109) (@adrhill)
• Simplify LRP analyzer and clean-up rule default parameters (#110) (@adrhill)
• Simplify LRP model checks (#112) (@adrhill)
• Update dependencies (#116) (@adrhill)
• Bump actions/cache from 1 to 3 (#117) (@dependabot[bot])
• Bump actions/checkout from 2 to 3 (#118) (@dependabot[bot])
• Support nested Flux Chains in LRP (#119) (@adrhill)
• Add Aqua.jl tests (#125) (@adrhill)
• Refactor Explanation struct (#126) (@adrhill)
• Faster tests and benchmarks (#127) (@adrhill)
• Set LRP output relevance to one (#128) (@adrhill)
• Enable BatchNorm layers in LRP (#129) (@adrhill)
• Rename composite primitives (#130) (@adrhill)
• Support nested indexing in composite primitive LayerMap (#131) (@adrhill)
• Add PassRule on normalization layers to composite presets, improve show (#134) (@adrhill)
• Support Parallel layers in LRP (#135) (@adrhill)
• Rename Explanation field attribution to val (#136) (@adrhill)
• Update documentation for v0.6.0 (#137) (@adrhill)
• Support canonization of Parallel layers (#138) (@adrhill)

v0.5.7

ExplainableAI v0.5.7

Diff since v0.5.6

Merged pull requests:

• CompatHelper: bump compat for PrettyTables to 2, (keep existing compat) (#101) (@github-actions[bot])

v0.5.6

ExplainableAI v0.5.6

Diff since v0.5.5

Merged pull requests:

• Drop Flux v0.12 compatibility (#99) (@adrhill)

v0.5.5

ExplainableAI v0.5.5

Diff since v0.5.4

Merged pull requests:

• Update ReferenceTests to v0.10 (#95) (@adrhill)
• Fast FlatRule (#96) (@adrhill)
• Add bias to layers in LRP rule tests (#97) (@adrhill)
• Fast WSquareRule on Dense layers (#98) (@adrhill)

v0.5.4

ExplainableAI v0.5.4

Diff since v0.5.3

Closed issues:

• Add printing of LRP analyzers, showing layers and rules (#83)

Merged pull requests:

• Implement Base.show for LRP analyzers (#89) (@adrhill)
• Fix bug in LRP rules (#92) (@adrhill)
• Fix input modification for FlatRule and WSquareRule (#93) (@adrhill)
• Update tests and references (#94) (@adrhill)

v0.5.3

ExplainableAI v0.5.3

Diff since v0.5.2

Closed issues:

• Add LRP Composites (#82)
• Add default composites (#85)
• Add ZPlusRule (#86)

Merged pull requests:

• Add LRP composites (#84) (@adrhill)
• Add default composites (#87) (@adrhill)
• Add LRP ZPlusRule (#88) (@adrhill)

v0.5.2

ExplainableAI v0.5.2

Diff since v0.5.1

Closed issues:

• Use CIFAR10 examples instead of MNIST (#49)

Merged pull requests:

• Add ImageNet preprocessing utilities (#80) (@adrhill)
• CompatHelper: add new compat entry for ImageTransformations at version 0.9, (keep existing compat) (#81) (@github-actions[bot])

v0.5.1

ExplainableAI v0.5.1

Diff since v0.5.0

v0.5.0

ExplainableAI v0.5.0

Diff since v0.4.0

Closed issues:

• Add passthrough rule (#60)
• Apply LRP rules via VJP with gradient mapper (#62)
• Refactor gradient methods to make use of VJPs (#68)

Merged pull requests:

• Replace LRP gradient computation with VJP using Zygote.pullback (#72) (@adrhill)
• In-place modify layers and rewrite ZBoxRule to use VJP (#73) (@adrhill)
• Fix broadcasting for Julia 1.6 (#74) (@adrhill)
• Add compatibility checks for LRP rule & layer combinations (#75) (@adrhill)
• Add PassRule (#76) (@adrhill)
• Fix bug in ZBoxRule (#77) (@adrhill)
• Add AlphaBetaRule (#78) (@adrhill)

v0.4.0

ExplainableAI v0.4.0

Diff since v0.3.3

Closed issues:

• Reduce allocations in LRP methods (#19)
• Add Integrated Gradients analyzer (#54)
• Remove use of mapreduce (#55)
• Simplify heatmapping normalizer using ColorSchemes v3.18 (#56)
• Specify upper and lower bounds of input in ZBoxRule constructor (#61)

Merged pull requests:

• Update heatmapping normalizer (#57) (@adrhill)
• Remove use of mapreduce (#58) (@adrhill)
• Add Integrated Gradients analyzer (#65) (@adrhill)
• Add LoopVectorization.jl to tests and benchmarks to speed up Tullio (#66) (@adrhill)
• Run LRP rule tests on batches (#67) (@adrhill)
• Fix ZBoxRule (#69) (@adrhill)
• Refactor lrp! (#70) (@adrhill)