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Graph Update: pip in /code/nnv/examples/NNV3.0/VideoStar, /code/nnv/examples/Submission/FORMALISE2025, /code/nnv/examples/Submission/FORMALISE2025/src, /code/nnv/examples/Submission/FORMATS2022/Comparison/Gotube, /code/nnv/tools/onnx2nnv_python, /docs #1465116701
Dependency Graph
#6:
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2m 29s
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master
2m 29s
Graph Update: pip in /code/nnv/examples/NNV3.0/VideoStar, /code/nnv/examples/Submission/FORMALISE2025, /code/nnv/examples/Submission/FORMALISE2025/src, /code/nnv/examples/Submission/FORMATS2022/Comparison/Gotube, /code/nnv/tools/onnx2nnv_python, /docs #1463372891
Dependency Graph
#5:
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2m 32s
relax-star: relaxFactor=0 ceiling probe on the relusplitter/cora unknowns (gates all estimate-tightening work)
Claude Code
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#454 (comment)
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star: smooth-activation tightening — midpoint tangents for TanSig/LogSig, and a probe-gated Sin/Cos Taylor-model star transformer for ml4acopf
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star: Star.dualBounds — batched weak-duality (beta-CROWN-style) bounds over the star's own predicate constraints
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star: intersect cached FP64 CROWN per-layer bounds into estimateRanges on the approx/relax paths ("CROWN-star")
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star: differential star reachability for network-equivalence queries (isomorphic_acasxu)
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lpsolver: LP micro-optimizations — persistent options, tiny-LP routing, box-redundant row filter, xopt return, per-LP time cap
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star: smooth-activation tightening — midpoint tangents for TanSig/LogSig, and a probe-gated Sin/Cos Taylor-model star transformer for ml4acopf
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#458
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gpu-bab: exact FP64 leaf-LP joint feasibility check at fully-fixed BaB nodes
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star: Star.dualBounds — batched weak-duality (beta-CROWN-style) bounds over the star's own predicate constraints
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star: intersect cached FP64 CROWN per-layer bounds into estimateRanges on the approx/relax paths ("CROWN-star")
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relax-star: relaxFactor=0 ceiling probe on the relusplitter/cora unknowns (gates all estimate-tightening work)
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gpu-bab: ConvTranspose support to un-block cgan2026 certification (nn_to_ops op, or measured per-cell approx-star)
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vnncomp-runner: adaptive_cruise 2-D cell-grid certification via batched FP64 bounds and the existing python AST interval evaluator
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gpu-bab: batch the input-bisection BaB frontier (gpu_bab_halfspace_input_bab) via gpu_bab_crown_spec_dag with per-page input coefficients
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vnncomp-runner: add cora to the FC FP64-CROWN precheck and give the relusplitter FC-BaB rung alpha/beta refinement plus a time budget
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star: containment-based soundness regression suite for approx-star and all relax-star variants
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star: latent-bug bundle — LeakyReLU relaxed-star wrong-index reset, Star.scaleRow center mis-indexing, stale outer-zonotope Z after approx-star ReLU, relax method-alias unification
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relax-star: TanSig 'relax-star' returns the input set unchanged — unsound stub reachable from tanh nets on relax ladders
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9m 42s
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9m 42s
Sound LP-free ViT verification for VNN-COMP 2023 (ViTCrown) + competition wiring
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#325:
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26m 1s
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Sound LP-free ViT verification for VNN-COMP 2023 (ViTCrown) + competition wiring
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Sound LP-free ViT verification for VNN-COMP 2023 (ViTCrown) + competition wiring
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#272:
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Kiguli:feat/vit-crown-lpfree
Kiguli:feat/vit-crown-lpfree
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Sound LP-free ViT verification for VNN-COMP 2023 (ViTCrown) + competition wiring
Deploy Documentation
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