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Issues: SciML/SciMLSensitivity.jl
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Zero gradient when using
ComplexF64
ComponentArrays as Parameters
bug
#1149
opened Nov 16, 2024 by
albertomercurio
Gradient returns error when using
ComplexF64
ODE and a custom struct
for parameters
bug
#1146
opened Nov 9, 2024 by
albertomercurio
Grandient calculation fails when using a parameter-dependent
SciMLOperator
bug
#1139
opened Nov 1, 2024 by
albertomercurio
Gradient w.r.t parameters not working with
MTKParameters
bug
#1130
opened Oct 7, 2024 by
AayushSabharwal
issue with Zygote jacobian when accessing ODE solutions on the time dimension
bug
#1102
opened Aug 30, 2024 by
daviehh
Does ZygoteVJP() support training Neural ODE with Discretecallback on GPU?
question
#1093
opened Aug 23, 2024 by
yunan-l
Rosenbrock Methods fail when using InterpolatingAdjoint with checkpointing
bug
#1075
opened Jul 3, 2024 by
m-bossart
Changing parameter component array in callback fails for ReverseDiffVJP()
bug
#1073
opened Jul 3, 2024 by
m-bossart
What would we need to become backend independent via using DifferentiationInterface?
#1040
opened Apr 3, 2024 by
oxinabox
Allow return code when directly calling adjoint_sensitivities
#1012
opened Feb 15, 2024 by
sebapersson
Ensure solutions to ODE's and similar are differentiable with respect to
tspan
endpoint, saveat
values, etc.
bug
#1002
opened Jan 30, 2024 by
ablaom
EnzymeVJP often fails is automatic sensealg determination
bug
#1001
opened Jan 30, 2024 by
ArnoStrouwen
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