RobustNeuralNetworks - v0.3.4

RobustNeuralNetworks v0.3.4

Diff since v0.3.3

Merged pull requests: - Minor paper corrections (#151) (@burtonjosh) - Revisions (#152) (@nic-barbara) - Minor edits to docs (#153) (@nic-barbara) - Version bump (#155) (@nic-barbara)

Closed issues: - Add new LBDN parameterisarion (#144) - Mixing convolutions with LBDN (#149)

- Julia
Published by github-actions[bot] over 1 year ago

RobustNeuralNetworks - v0.3.3

RobustNeuralNetworks v0.3.3

Diff since v0.3.2

Merged pull requests: - 147 small bug in docs (#148) (@nic-barbara)

Closed issues: - Bump to v0.3.2 (#142) - Constraint the sensitivity (gain) around a point (#145) - Specify different limit per pair in a multi-input multi-output neural network (#146) - Small bug in docs (#147)

- Julia
Published by github-actions[bot] almost 2 years ago

RobustNeuralNetworks - v0.3.2

RobustNeuralNetworks v0.3.2

Diff since v0.3.1

Merged pull requests: - Minor updates to docs (#137) (@nic-barbara) - Updated broken links (#138) (@nic-barbara) - Issue 136 139 (#140) (@MrstupidJ) - Bump to v0.3.2 (#141) (@nic-barbara)

Closed issues: - Bump to v0.3.1 (#135) - The product of passivity indices does have a theoretical upper bound. (#136) - Array mutating problem when calculating inverse of (I + M) (#139)

- Julia
Published by github-actions[bot] over 2 years ago

RobustNeuralNetworks - v0.3.1

RobustNeuralNetworks v0.3.1

Diff since v0.3.0

Merged pull requests: - Changed naming of cayley norm function to improve readability (#127) (@nic-barbara) - Tidying up a few changes (#128) (@nic-barbara) - Fixed bug in parameter extraction of SandwichFC (#131) (@nic-barbara) - Hybridpassive REN step 1: Incrementally Strictly Output Passive (ISOP) model (#132) (@MrstupidJ) - Fixed a bug in the docs and removed LiveServer.jl as a dependency (#134) (@nic-barbara)

Closed issues: - Use Flux.Recur to run nonlinear simulation (#67) - Bump to v0.3.0 (#125) - Replace normcayley with cayleynorm (#126) - Bug in SandwichFC (#130)

- Julia
Published by github-actions[bot] over 2 years ago

RobustNeuralNetworks - v0.3.0

RobustNeuralNetworks v0.3.0

Diff since v0.2.3

Closed issues: - Improve package loading speed (#75) - Switch autograd to ChainRules.jl instead of using Zygote.jl adjoints (#94) - Improve speed with back-propagation (#100) - Basic GPU Support (#105) - Bump to v0.2.3 (#111) - Docs for observer example are outdated (#112) - Add GPU support to documentation (#122)

Merged pull requests: - Updated random seeds and observer documentation (#113) (@nic-barbara) - Change REN adjoints to ChainRules.jl rrule (#114) (@nic-barbara) - CompatHelper: add new compat entry for ChainRulesCore at version 1, (keep existing compat) (#115) (@github-actions[bot]) - Attempt to improve package loading speeds (#116) (@nic-barbara) - Improve speed with back propagation (#117) (@nic-barbara) - Basic GPU Support (#118) (@nic-barbara) - Feature/gpu support debug (#121) (@nic-barbara) - Added docs for basic GPU support (#123) (@nic-barbara) - Bumped to version 0.3 (#124) (@nic-barbara)

- Julia
Published by github-actions[bot] almost 3 years ago

RobustNeuralNetworks - v0.2.3

RobustNeuralNetworks v0.2.3

Diff since v0.2.2

Closed issues: - Change name of SandwichFCLayer to DenseLBDNLayer (#74) - Use weight initialisations from Flux.jl (#76) - Bump to version v0.2.2 (#96) - Error taking gradients through REN with nx = 0 and/or nv = 0 (#99) - Restrictive initialisation of RENs (#102) - Dynamics in RL and Observer Examples is Incorrect (#106)

Merged pull requests: - Example/animated contraction (#97) (@nic-barbara) - Bugfix for Linear RENs and Type Stability (#98) (@nic-barbara) - Bugfix: error when taking gradients with nv = 0 or nx = 0 (#101) (@nic-barbara) - Feature/rand init (#103) (@nic-barbara) - CompatHelper: bump compat for Flux to 0.14, (keep existing compat) (#104) (@github-actions[bot]) - Bugfix: box dynamics (#107) (@nic-barbara) - Updated links and references to papers (#108) (@nic-barbara) - Docs/update (#109) (@nic-barbara) - Version bump and Documentation Updates (#110) (@nic-barbara)

- Julia
Published by github-actions[bot] almost 3 years ago

RobustNeuralNetworks - v0.2.2

RobustNeuralNetworks v0.2.2

Diff since v0.2.1

Closed issues: - Bump to version v0.2.1 (#87) - Make the Lipschitz bound an optional learnable parameter (#89)

Merged pull requests: - Learnable Lipschitz parameter (#90) (@nic-barbara) - Switched to log gamma for storing Lipschitz bound in LBDN, and added … (#91) (@nic-barbara) - Modifying content while writing JuliaCon paper (#92) (@nic-barbara) - Added citations and cleaned up repository following arXiv submission. (#93) (@nic-barbara) - Bumped to version 0.2.2 (#95) (@nic-barbara)

- Julia
Published by github-actions[bot] almost 3 years ago

RobustNeuralNetworks - v0.2.1

RobustNeuralNetworks v0.2.1

Diff since v0.2.0

Closed issues: - Missing 1/alpha_bar^2 here? (#17) - Bump to version v0.2.0 (#73) - Licence file reference missing in source files (#82)

Merged pull requests: - Example/pde obsv (#78) (@yuruizhang06) - Added code owners file (#79) (@jclinton830) - Example/lbdn rl (#80) (@nic-barbara) - Licence file reference for all source files (#83) (@jclinton830) - License file reference in all source files (#84) (@jclinton830) - Tidy code (#85) (@nic-barbara) - Example/block observer (#86) (@nic-barbara) - Bumped to v0.2.1 (#88) (@nic-barbara)

- Julia
Published by github-actions[bot] about 3 years ago

RobustNeuralNetworks - v0.2.0

RobustNeuralNetworks v0.2.0

Diff since v0.1.0

Closed issues: - Package Registration (#52) - Array mutation in solve_tril_layer() (#55) - Polar parameterisation for REN is incorrect (#57) - Trainable parameters should be specified with @functor (#61) - Bug in subtypes of AbstractRENParams when not using polar_param (#63) - Images not appearing in documentation (#69)

Merged pull requests: - Optimization of the solvetrillayer function (#54) (@nic-barbara) - Speed optimization (#56) (@EliottEccidio) - Fixed polar parameterisation bug (#58) (@nic-barbara) - Feature/lbdn (#59) (@nic-barbara) - Switched LBDN to @functor macro, changed examples (#60) (@nic-barbara) - Refactor/flux interface (#62) (@nic-barbara) - Bugfix/polar param (#64) (@nic-barbara) - Feature/lbdn examples (#65) (@nic-barbara) - Feature/sandwich layer (#66) (@nic-barbara) - Example/youla ren (#68) (@nic-barbara) - Testing issue with relative paths in HTML (#70) (@nic-barbara) - 69 images not appearing in documentation (#71) (@nic-barbara) - Fixed bug and updated project version (#72) (@nic-barbara)

- Julia
Published by github-actions[bot] about 3 years ago

RobustNeuralNetworks - v0.1.0

RobustNeuralNetworks v0.1.0

Closed issues: - Default Q, S, R in GeneralRENParams (#16) - General REN not passing test for behavioural constraint with Q, S, R (#18) - passive ren (#23) - Merge output layer into DirectParams (#24)

Merged pull requests: - Feature/basic functionality (#1) (@nic-barbara) - Feature/general ren params (#2) (@nic-barbara) - CompatHelper: add new compat entry for DocStringExtensions at version 0.9, (keep existing compat) (#3) (@github-actions[bot]) - CompatHelper: add new compat entry for MatrixEquations at version 2, (keep existing compat) (#4) (@github-actions[bot]) - CompatHelper: add new compat entry for BenchmarkTools at version 1, (keep existing compat) (#5) (@github-actions[bot]) - CompatHelper: add new compat entry for CUDA at version 3, (keep existing compat) (#6) (@github-actions[bot]) - CompatHelper: add new compat entry for Zygote at version 0.6, (keep existing compat) (#7) (@github-actions[bot]) - CompatHelper: add new compat entry for Flux at version 0.13, (keep existing compat) (#8) (@github-actions[bot]) - Feature/nondiff wrapper (#9) (@nic-barbara) - Feature/tidy code (#10) (@nic-barbara) - Feature/lipschitz ren params (#19) (@nic-barbara) - Issue/general ren behavioural constraints (#20) (@nic-barbara) - Feature/dev wrappers (#21) (@nic-barbara) - Changed unit tests to check dissipation inequality with V{t+1} - Vt on LHS (#22) (@nic-barbara) - Feature/merge output direct (#25) (@nic-barbara) - Feature/lbdn (#27) (@ppauli) - Feature/passive ren (#29) (@MrstupidJ) - Changed name of package to RobustNeuralNetworks.jl (#33) (@nic-barbara) - CompatHelper: add new compat entry for MatrixEquations at version 2, (keep existing compat) (#35) (@github-actions[bot]) - CompatHelper: bump compat for CUDA to 4, (keep existing compat) (#37) (@github-actions[bot]) - CompatHelper: add new compat entry for Flux at version 0.13, (keep existing compat) (#38) (@github-actions[bot]) - CompatHelper: add new compat entry for Zygote at version 0.6, (keep existing compat) (#40) (@github-actions[bot]) - Feature/documentation (#42) (@nic-barbara) - Adding tokens to docs (#43) (@nic-barbara) - Feature/documentation (#45) (@nic-barbara) - Docs should now update on merge to master (#46) (@nic-barbara) - Feature/documentation (#47) (@nic-barbara) - Feature/documentation (#48) (@nic-barbara) - Removed unused packages from Project.toml (#49) (@nic-barbara) - Feature/documentation (#50) (@nic-barbara) - Added links in examples (#51) (@nic-barbara)

- Julia
Published by github-actions[bot] about 3 years ago