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Gustav Grund Pihlgren
Gustav Grund Pihlgren

Gustav Grund Pihlgren

PhD Student
Luleå University of Technology
Machine Learning
Embedded Intelligent Systems LAB
Department of Computer Science, Electrical and Space Engineering
gustav.pihlgren@ltu.se
A3570 Luleå

Gustav Grund Pihlgren is a PhD Student in the Machine Learning group at LTU. His area is Feature Learning and the creation of meaningful Deep Represenations. Currently he's working with Perceptual Loss.

Research interests

  • Machine Learning
  • Feature Learning
  • Reinforcement Learning
  • Neuroscience
  • Cognitive Science

Publications

Conference paper

Pretraining Image Encoders without Reconstruction via Feature Prediction Loss (2021)

Grund Pihlgren. G, Sandin. F, Liwicki. M
Part of: Proceedings of ICPR 2020, 25th International Conference on Pattern Recognition, s. 4105-4111, IEEE, 2021
Conference paper

Improving Image Autoencoder Embeddings with Perceptual Loss (2020)

Grund Pihlgren. G, Sandin. F, Liwicki. M
Part of: 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020, 20229
Conference paper

Subword Semantic Hashing for Intent Classification on Small Datasets (2019)

Shridhar. K, Dash. A, Sahu. A, Grund Pihlgren. G, Alonso. P, Pondenkandath. V, et al.
Part of: 2019 International Joint Conference on Neural Networks (IJCNN), IEEE, 2019, N-19329
Conference paper

Towards More Meaningful Deep Representations with Neural Networks (2019)

Grund Pihlgren. G
Part of: Proceedings of SAIS 2019, Umeå University, 2019