Lars Maaløe

40 papers A* 6A 2Misc 1Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A medical coding language model trained on clinical narratives from a population-wide cohort of 1.8 million patients.
CoRR
Joakim Edin, Sedrah B. Balaganeshan, Annike Kjølby Kristensen, Lars Maaløe, Ioannis Louloudis, Søren Brunak
2026 J jnl
Symphony for Medical Coding: A Next-Generation Agentic System for Scalable and Explainable Medical Coding.
CoRR
Joakim Edin, Andreas Geert Motzfeldt, Simon Flachs, Lars Maaløe
2025 J jnl
A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems.
CoRR
Lasse Borgholt, Jakob D. Havtorn, Christian Igel, Lars Maaløe, Zheng-Hua Tan
2025 — conf
Code Like Humans: A Multi-Agent Solution for Medical Coding.
EMNLP (Findings)
Andreas Geert Motzfeldt, Joakim Edin, Casper L. Christensen, Christian Hardmeier, Lars Maaløe, Anna Rogers
2025 J jnl
Code Like Humans: A Multi-Agent Solution for Medical Coding.
CoRR
Andreas Geert Motzfeldt, Joakim Edin, Casper L. Christensen, Christian Hardmeier, Lars Maaløe, Anna Rogers
2025 J jnl
FactsR: A Safer Method for Producing High Quality Healthcare Documentation.
CoRR
Victor Petrén Bach Hansen, Lasse Krogsbøll, Jonas Lyngsø, Mathias Baltzersen, Andreas Geert Motzfeldt, Kevin Pelgrims, Lars Maaløe
2025 J jnl
GIM: Improved Interpretability for Large Language Models.
CoRR
Joakim Edin, Róbert Csordás, Tuukka Ruotsalo, Zhengxuan Wu, Maria Maistro, Jing Huang, Lars Maaløe
2025 — conf
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attributions Explainability.
ACL (1)
Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro
2024 A* conf
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records.
EMNLP
Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo
2024 J jnl
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records.
CoRR
Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo
2024 J jnl
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability.
CoRR
Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro
2023 A* conf
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study.
SIGIR
Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
2023 J jnl
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study.
CoRR
Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
2022 J jnl
A Brief Overview of Unsupervised Neural Speech Representation Learning.
CoRR
Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel
2022 J jnl
Benchmarking Generative Latent Variable Models for Speech.
CoRR
Jakob D. Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe
2022 A conf
Model-agnostic out-of-distribution detection using combined statistical tests.
AISTATS
Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen
2022 J jnl
Model-agnostic out-of-distribution detection using combined statistical tests.
CoRR
Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Senetaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen
2022 J jnl
Self-Supervised Speech Representation Learning: A Review.
CoRR
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
2022 J jnl
Self-Supervised Speech Representation Learning: A Review.
IEEE J. Sel. Top. Signal Process.
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
2021 J jnl
Do End-to-End Speech Recognition Models Care About Context?
CoRR
Lasse Borgholt, Jakob Drachmann Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
2021 J jnl
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?
CoRR
Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel
2021 A* conf
Hierarchical VAEs Know What They Don't Know.
ICML
Jakob Drachmann Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe
2021 J jnl
Hierarchical VAEs Know What They Don't Know.
CoRR
Jakob D. Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe
2021 Misc conf
On Scaling Contrastive Representations for Low-Resource Speech Recognition.
ICASSP
Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe, Christian Igel
2021 J jnl
On Scaling Contrastive Representations for Low-Resource Speech Recognition.
CoRR
Lasse Borgholt, Tycho Max Sylvester Tax, Jakob Drachmann Havtorn, Lars Maaløe, Christian Igel
2020 A conf
Do End-to-End Speech Recognition Models Care About Context?
INTERSPEECH
Lasse Borgholt, Jakob D. Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
2020 J jnl
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech.
CoRR
Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jakobsen, Regitze Sdun, Zeljko Agic
2020 A* conf
MultiQT: Multimodal learning for real-time question tracking in speech.
ACL
Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun, Zeljko Agic
2019 A* conf
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling.
NeurIPS
Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
2019 J jnl
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling.
CoRR
Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
2018 — —
Deep Generative Models for Semi-Supervised Machine Learning.
Lars Maaløe
2018 J jnl
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition.
CoRR
Jan Kremer, Lasse Borgholt, Lars Maaløe
2017 J jnl
Exploiting Nontrivial Connectivity for Automatic Speech Recognition.
CoRR
Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax, Marco Singh, Lars Maaløe
2017 J jnl
Semi-Supervised Generation with Cluster-aware Generative Models.
CoRR
Lars Maaløe, Marco Fraccaro, Ole Winther
2017 J jnl
Utilizing Domain Knowledge in End-to-End Audio Processing.
CoRR
Tycho Max Sylvester Tax, Jose Luis Diez Antich, Hendrik Purwins, Lars Maaløe
2016 A* conf
Auxiliary Deep Generative Models.
ICML
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
2016 J jnl
Auxiliary Deep Generative Models.
CoRR
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
2016 J jnl
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks.
CoRR
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
2016 — conf
Ladder Variational Autoencoders.
NIPS
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
2015 J jnl
Recurrent Spatial Transformer Networks.
CoRR
Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther