1 citations · 1 across the 6 of their papers we have counts for
6 papers
Fine Tuning Methods for Low-resource Languages
Tim Bakkenes, Daniel Wang, Anton Johansson
The rise of Large Language Models has not been inclusive of all cultures. The models are mostly trained on English texts and culture which makes them underperform in other language…
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…
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…
SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testing
Dhasarathy Parthasarathy, Anton Johansson
Automotive software testing continues to rely largely upon expensive field tests to ensure quality because alternatives like simulation-based testing are relatively immature. As a…
Slope and generalization properties of neural networks
Anton Johansson, Niklas Engsner, Claes Strannegård +1
Neural networks are very successful tools in for example advanced classification. From a statistical point of view, fitting a neural network may be seen as a kind of regression, wh…
Does the dataset meet your expectations? Explaining sample representation in image data
Dhasarathy Parthasarathy, Anton Johansson
Since the behavior of a neural network model is adversely affected by a lack of diversity in training data, we present a method that identifies and explains such deficiencies. When…