| Self-supervised speech representation learning: A review A Mohamed, H Lee, L Borgholt, JD Havtorn, J Edin, C Igel, K Kirchhoff, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1179-1210, 2022 | 406 | 2022 |
| Hierarchical VAEs Know What They Don't Know JD Havtorn, J Frellsen, S Hauberg, L Maaløe 38th International Conference on Machine Learning 139 (PMLR), 4117–4128, 2021 | 81 | 2021 |
| Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study J Edin, A Junge, JD Havtorn, L Borgholt, M Maistro, T Ruotsalo, L Maaløe Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 44 | 2023 |
| Model-agnostic out-of-distribution detection using combined statistical tests F Bergamin, PA Mattei, JD Havtorn, H Senetaire, H Schmutz, L Maaløe, ... 25th International Conference on Artificial Intelligence and Statistics …, 2022 | 24 | 2022 |
| A Brief Overview of Unsupervised Neural Speech Representation Learning L Borgholt, JD Havtorn, J Edin, L Maaløe, C Igel 2nd Workshop on Self-supervised Learning for Audio and Speech Processing …, 2022 | 13 | 2022 |
| MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers JD Havtorn, A Royer, T Blankevoort, BE Bejnordi ICCV 2023 Workshop on New Ideas in Vision Transformers, 2023 | 12 | 2023 |
| Do end-to-end speech recognition models care about context? L Borgholt, JD Havtorn, Ž Agić, A Søgaard, L Maaløe, C Igel 21st Annual Conference of the International Speech Communication Association …, 2020 | 9 | 2020 |
| Do we still need automatic speech recognition for spoken language understanding? L Borgholt, JD Havtorn, M Abdou, J Edin, L Maaløe, A Søgaard, C Igel arXiv preprint arXiv:2111.14842, 2021 | 8 | 2021 |
| A Retrospective Study on Machine Learning-Assisted Stroke Recognition for Medical Helpline Calls J Wenstrup, JD Havtorn, L Borgholt, SNF Blomberg, L Maaløe, ... npj Digital Medicine 6 (1), 2023 | 6 | 2023 |
| On scaling contrastive representations for low-resource speech recognition L Borgholt, TMS Tax, JD Havtorn, L Maaløe, C Igel IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 6 | 2021 |
| Benchmarking Generative Latent Variable Models for Speech JD Havtorn, L Borgholt, S Hauberg, J Frellsen, L Maaløe ICLR 2022 Workshop on Deep Generative Models for Highly Structured Data, 2022 | 4 | 2022 |
| MultiQT: Multimodal learning for real-time question tracking in speech JD Havtorn, J Latko, J Edin, L Borgholt, L Maaløe, L Belgrano, ... 58th Annual Meeting of the Association for Computational Linguistics, 2370--2380, 2020 | 3 | 2020 |
| An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records J Edin, M Maistro, L Maaløe, L Borgholt, JD Havtorn, T Ruotsalo arXiv preprint arXiv:2406.08958, 2024 | 1 | 2024 |
| Adaptive mixed-resolution processing JD HAVTORN, AME Royer, TPF Blankevoort, BE Bejnordi US Patent App. 18/478,714, 2024 | | 2024 |
| Uncertainty and the Medical Interview: Towards Self-Assessment in Machine Learning Models (PhD Thesis) JD Havtorn Technical University of Denmark, 2024 | | 2024 |
| Variational Optimization of Neural Networks (MSc Thesis) JD Havtorn, O Winther https://github.com/JakobHavtorn/Master-Thesis, 2018 | | 2018 |
Lars MaaløeCo-Founder & CTO @ Corti | Adj. Assoc. Professor of Machine Learning @ DTUAdresse e-mail validée de corti.ai
