1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Approximate Probabilistic Inference for Time-Series Data A Robust Latent Gaussian Model With Temporal Awareness
Anton Johansson, Arunselvan Ramaswamy
The development of robust generative models for highly varied non-stationary time series data is a complex yet important problem. Traditional models for time series data prediction…
stat.ML2022★ 1 cited
Exact Spectral Norm Regularization for Neural Networks
Anton Johansson, Claes Strannegård, Niklas Engsner +1
We pursue a line of research that seeks to regularize the spectral norm of the Jacobian of the input-output mapping for deep neural networks. While previous work rely on upper boun…