Gustav Grund Pihlgren
PhD Student
Luleå University of Technology
Luleå University of Technology
Embedded Intelligent Systems LAB
Department of Computer Science, Electrical and Space Engineering
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
Licentiate thesis, comprehensive summary
Deep Perceptual Loss for Improved Downstream Prediction (2021)
Conference paper
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss (2021)
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)
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)
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)
Part of: Proceedings of SAIS 2019, Umeå University, 2019