Maaløe, Lars

1. Ladder Variational Autoencoders
   2016/02/06 by Casper Kaae Sønderby, Sønderby, Casper Kaae, Tapani Raiko +7 · 24 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Machine Learning in Healthcare
2. Auxiliary Deep Generative Models
   2016/02/17 by Lars Maaløe, Casper Kaae Sønderby, Maaløe, Lars +5 · 27 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Advanced Neural Network Applications
3. BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
   2019/02/06 by Lars Maaløe, Maaløe, Lars, M. Fraccaro +5 · 6 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
4. Hierarchical VAEs Know What They Don't Know
   2021/02/16 by Havtorn, Jakob D., Frellsen, Jes, Hauberg, Søren +1 · 3 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
   2024/06/13 by Joakim Edin, Edin, Joakim, Maria Maistro +9 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
6. A Brief Overview of Unsupervised Neural Speech Representation Learning
   2022/03/01 by Borgholt, Lasse, Havtorn, Jakob Drachmann, Edin, Joakim +2 · 1 citation
   #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering