Lars Maaløe
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Topic Modeling 6
- Machine Learning in Healthcare 4
- Speech Recognition and Synthesis 4
- Solar Radiation and Photovoltaics 2
-
- Generative Adversarial Networks and Image Synthesis 4
- Co-authors
- Ole Winther (8 shared papers)Søren Kaae Sønderby (3 shared papers)Casper Kaae Sønderby (3 shared papers)Lasse Borgholt (6 shared papers)Jakob D. Havtorn (6 shared papers)Joakim Edin (5 shared papers)Christian Igel (3 shared papers)Katrin Kirchhoff (2 shared papers)
- Journals
- npj Digital Medicine (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Energies (1 paper)Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (2 papers)BioMedInformatics (1 paper)
- Partner nations
- DenmarkUnited StatesIreland
In The Last Decade
Lars Maaløe
16 papers receiving 404 citations
Lars Maaløe's Hit Papers
Peers
Comparison fields: 5 of 72
- Signal Processing 124
- Artificial Intelligence 295
- Computer Vision and Pattern Recognition 104
- Health Informatics 6
- Health Information Management 9
Countries citing papers authored by Lars Maaløe
This map shows the geographic impact of Lars Maaløe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lars Maaløe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Maaløe more than expected).
Fields of papers citing papers by Lars Maaløe
This network shows the impact of papers produced by Lars Maaløe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lars Maaløe. The network helps show where Lars Maaløe may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Maaløe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Self-Supervised Speech Representation Learning: A Review Hit paper breakdown → | 2022 | 214 |
| 2 | Auxiliary deep generative models | 2016 | 76 |
| 3 | How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks | 2016 | 33 |
| 4 | BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling | 2019 | 28 |
| 5 | 2023 | 19 | |
| 6 | 2020 | 11 | |
| 7 | 2023 | 8 | |
| 8 | 2016 | 8 | |
| 9 | Improving Semi-Supervised Learning with Auxiliary Deep Generative Models | 2015 | 6 |
| 10 | 2020 | 4 | |
| 11 | 2022 | 2 | |
| 12 | Towards Hierarchical Discrete Variational Autoencoders | 2019 | 2 |
| 13 | 2022 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | Deep Belief Nets for Topic Modeling | 2015 | 1 |
| 17 | a Platform-Independent Framework for Application Development for Smart Phones | 2011 | 0 |
| 18 | 2025 | 0 |
About Lars Maaløe
Lars Maaløe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 416 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Machine Learning in Healthcare (4 papers), Music and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers), Solar Radiation and Photovoltaics (2 papers), Photovoltaic System Optimization Techniques (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Signal Processing (124 citations), Artificial Intelligence (295 citations), Computer Vision and Pattern Recognition (104 citations), Health Informatics (6 citations) and Health Information Management (9 citations). Lars Maaløe has collaborated with scholars based in Denmark, United States and Ireland. Frequent co-authors include Ole Winther, Søren Kaae Sønderby, Casper Kaae Sønderby, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li and Hung-yi Lee. Their work appears in journals such as npj Digital Medicine, IEEE Journal of Selected Topics in Signal Processing, Energies, Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) and BioMedInformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.