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Issues: SciML/SciMLSensitivity.jl
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Gradient w.r.t parameters not working with
MTKParameters
bug
#1130
opened Oct 7, 2024 by
AayushSabharwal
Default algorithm should have checks for Adjoints limitations
bug
#1116
opened Sep 19, 2024 by
prbzrg
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
MethodError
when solving ODEForwardSensitivityProblem
with autodiff=true
and Rosenbrock23()
bug
#944
opened Nov 30, 2023 by
topolarity
Overhead in 'Training a Neural Ordinary Differential Equation with Mini-Batching' example
#936
opened Nov 12, 2023 by
wallscheid
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