Lars Maaløe

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Latent Variable Models

Spoken Language

Generative Model

Speech Recognition

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records. CoRR (2024)
Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. SIGIR (2023)
Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. CoRR (2023)
Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel
A Brief Overview of Unsupervised Neural Speech Representation Learning. CoRR (2022)
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe
Self-Supervised Speech Representation Learning: A Review. CoRR (2022)
Jakob D. Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe
Benchmarking Generative Latent Variable Models for Speech. CoRR (2022)
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe
Self-Supervised Speech Representation Learning: A Review. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Senetaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen
Model-agnostic out-of-distribution detection using combined statistical tests. CoRR (2022)
Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen
Model-agnostic out-of-distribution detection using combined statistical tests. AISTATS (2022)
Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe, Christian Igel
On Scaling Contrastive Representations for Low-Resource Speech Recognition. ICASSP (2021)
Jakob Drachmann Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe
Hierarchical VAEs Know What They Don't Know. ICML (2021)
Lasse Borgholt, Jakob Drachmann Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
Do End-to-End Speech Recognition Models Care About Context? CoRR (2021)
Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding? CoRR (2021)
Lasse Borgholt, Tycho Max Sylvester Tax, Jakob Drachmann Havtorn, Lars Maaløe, Christian Igel
On Scaling Contrastive Representations for Low-Resource Speech Recognition. CoRR (2021)
Jakob D. Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe
Hierarchical VAEs Know What They Don't Know. CoRR (2021)
Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jakobsen, Regitze Sdun, Zeljko Agic
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech. CoRR (2020)
Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun, Zeljko Agic
MultiQT: Multimodal learning for real-time question tracking in speech. ACL (2020)
Lasse Borgholt, Jakob D. Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
Do End-to-End Speech Recognition Models Care About Context? INTERSPEECH (2020)
Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. CoRR (2019)
Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. NeurIPS (2019)
Jan Kremer, Lasse Borgholt, Lars Maaløe
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition. CoRR (2018)
Lars Maaløe, Marco Fraccaro, Ole Winther
Semi-Supervised Generation with Cluster-aware Generative Models. CoRR (2017)
Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax, Marco Singh, Lars Maaløe
Exploiting Nontrivial Connectivity for Automatic Speech Recognition. CoRR (2017)
Tycho Max Sylvester Tax, Jose Luis Diez Antich, Hendrik Purwins, Lars Maaløe
Utilizing Domain Knowledge in End-to-End Audio Processing. CoRR (2017)
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Auxiliary Deep Generative Models. CoRR (2016)
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
Ladder Variational Autoencoders. NIPS (2016)
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Auxiliary Deep Generative Models. ICML (2016)
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. CoRR (2016)
Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther
Recurrent Spatial Transformer Networks. CoRR (2015)