Improving the Performance of OTDOA Based Positioning in NB-IoT Systems. - Sha Hu 001; Axel Berg; Xuhong Li 001; Fredrik Rusek (GLOBECOM, 2017)

Improving the Performance of OTDOA based Positioning in NB-IoT System. - Sha Hu 001; Axel Berg; Xuhong Li 001; Fredrik Rusek (CoRR, 2017)

Deep Ordinal Regression with Label Diversity. - Axel Berg; Magnus Oskarsson; Mark O'Connor (ICPR, 2020)

Deep-learning enhancement of large scale numerical simulations. - Caspar van Leeuwen; Damian Podareanu; Valeriu Codreanu; Maxwell X. Cai; Axel Berg; Simon Portegies Zwart; Robin Stoffer; Menno Veerman; Chiel van Heerwaarden; Sydney Otten; Sascha Caron; Cunliang Geng; et al. (CoRR, 2020)

Keyword Transformer: A Self-Attention Model for Keyword Spotting. - Axel Berg; Mark O'Connor; Miguel Tairum Cruz (Interspeech, 2021)

Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition. - Axel Berg; Magnus Oskarsson; Mark O'Connor (ICPR, 2022)

Extending GCC-PHAT using Shift Equivariant Neural Networks. - Axel Berg; Mark O'Connor; Kalle Åström; Magnus Oskarsson (INTERSPEECH, 2022)

wav2pos: Sound Source Localization using Masked Autoencoders. - Axel Berg; Jens Gulin; Mark O'Connor; Chuteng Zhou; Karl Åström 002; Magnus Oskarsson (IPIN, 2024)

Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point. - Bokun Wang; Axel Berg; Durmus Alp Emre Acar; Chuteng Zhou (CoRR, 2024)

Learning Multi-Target TDOA Features for Sound Event Localization and Detection. - Axel Berg; Johanna Engman; Jens Gulin; Kalle Åström; Magnus Oskarsson (CoRR, 2024)

Machine Learning for Perception and Localization: Efficient and Invariant Methods. - Axel Berg (2024)