Topics tagged ad

Topic	Replies	Views	Activity
Efficient automatic differentation for Julia version `jax.scan`? Performance ad , jax	4	111	October 3, 2025
Which direction: DifferentiatonInterface, Enzyme, Zygote with CUDA and FFTs? General Usage ad	20	705	September 17, 2025
Automatic differentiation of loglikelihood function. Am I doing it right? New to Julia statistics , zygote , ad	5	297	September 8, 2025
Adjoint sensitivities for non-numeric types in ModelingToolkit.jl Modelling & Simulations modelingtoolkit , ad , adjoint	0	67	September 3, 2025
Reverse rule in Enzyme for an implicit function Numerics question , ad , enzyme	2	104	August 4, 2025
Support for adjoint sensitivities with `SciMLStructures` in ODE problems Numerics question , differentiation , sciml , ad	2	91	July 25, 2025
Multi-argument Jacobian and gradient Numerics question , ad	7	155	May 21, 2025
How to think about the cost of vJ and Jv (pullback and pushforward) Numerics question , ad	6	95	May 15, 2025
Help to use AD with Optimization.jl Optimization (Mathematical) optimization , ad	5	160	May 9, 2025
Debugging non-finite Jacobian elements (w/ ForwardDiff) Numerics question , ad	4	153	April 8, 2025
Implicit differentiation of rootfinding problem (w/ numerical issues) Numerics question , ad , implicit-equation	13	260	February 26, 2025
Differentiating through non-negative least squares solver? Numerics optimization , ad	9	306	February 19, 2025
ExaModels optimizer API for JuMP has convergence issue Optimization (Mathematical) ad	5	140	February 19, 2025
Errors when running a Universal Differential Equation (UDE) New to Julia ode , optimization , ad , lux	8	322	February 8, 2025
Solver and AD advice for nonlinear LS problem Optimization (Mathematical) question , multithreading , ad , preallocation	5	151	January 21, 2025
Help with nested ForwardDiff.jl calculation General Usage forwarddiff , ad	1	88	November 26, 2024
Correct way of computing adjoints/gradients with dense solution of ODE Numerics differentiation , sciml , ad , differentialequation	5	176	October 31, 2024
[ANN] DifferentiationInterface - gradients for everyone Package Announcements zygote , forwarddiff , ad , autodiff , enzyme	5	1413	October 8, 2024
Nested and different AD methods altogether: How to add AD calculations inside my loss function when using neural differential equations? Machine Learning sciml , ad , neural-network , differentialequation	9	1017	September 28, 2024
Best/simplest way to calculate sparse Hessian General Usage sparse , ad	4	1103	June 10, 2024
How to: High-performance differentiable programming with broad AD-library support? Performance zygote , forwarddiff , reversediff , ad	13	625	May 6, 2024
Nested AD with Lux etc Machine Learning ad	26	1346	May 1, 2024
Allocation-free higher-order derivatives of R^n->R Numerics question , ad	4	232	April 12, 2024
ForwardDiff.jl returns NaNs for calculating gradient of simulation model Probabilistic Programming forwarddiff , bayesian-inference , ad	2	348	February 8, 2024
How to do gradient clipping in Julia for large for loops General Usage ad , autodiff	3	282	January 18, 2024
Zygote error when using Nonconvex.jl: Mutating arrays is not supported Optimization (Mathematical) optimization , zygote , ad	2	377	December 3, 2023
Cannot ForwardDiff through linear least squares via QR Specific Domains forwarddiff , qr , ad	6	387	September 27, 2023
How efficient is the automatic differentation and optimization in comparison to PyTorch Machine Learning zygote , ad	6	1067	August 16, 2023
Simple function using Zygote gradient is type-unstable New to Julia zygote , ad	9	448	July 16, 2023
Differentiating Jacobian-vector product for sliced score matching? Machine Learning flux , zygote , ad	18	580	June 29, 2023