To use VectorAdam in your project, [{'params': X, 'axis': -1}, . {'params': Y, 'axis': 1], . lr=lr, betas=betas, eps=eps)) The above example will apply VectorAdam's vector-wise operations to …

We propose to resolve this deficiency with VectorAdam, a simple modification which makes Adam rotation-equivariant by accounting for the vector structure of optimization variables.

May 26, 2022 · We propose to resolve this deficiency with VectorAdam, a simple modification which makes Adam rotation-equivariant by accounting for the vector structure of optimization …

We demonstrate this approach on problems in machine learning and traditional geometric optimization, showing that equivariant VectorAdam resolves the artifacts and biases of …

Oct 30, 2022 · We demonstrate this approach on problems in machine learning and traditional geometric optimization, showing that equivariant VectorAdam resolves the artifacts and biases …

This is the repository for the modified VectorAdam algorithm. To use VectorAdam implementation, you just need to have PyTorch installed in your environment. The demo script are tested with …

May 26, 2022 · We propose to resolve this deficiency with VectorAdam, a simple modification which makes Adam rotation-equivariant by accounting for the vector structure of optimization …

Adam (Adaptive Moments)II t is the current iteration index Roughly speaking, Adam is the combination of Momentum RMSprop From Goodfellow et al. (2016), ϵ √ ˆr + δ ⊙ˆs (i.e., the …

Oct 31, 2022 · We demonstrate this approach on problems in machine learning and traditional geometric optimization, showing that equivariant VectorAdam resolves the artifacts and biases …

May 26, 2022 · We demonstrate this approach on problems in machine learning and traditional geometric optimization, showing that equivariant VectorAdam resolves the artifacts and biases …