Lars Maaløe

According to our database, Lars Maaløe authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability.

Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro

CoRR, 2024

An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records.

Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A retrospective study on machine learning-assisted stroke recognition for medical helpline calls.

Jonathan Wenstrup, Jakob Drachmann Havtorn, Lasse Borgholt, Stig Nikolaj Blomberg, Lars Maaloe, Michael R. Sayre, Hanne Christensen, Christina Kruuse, Helle Collatz Christensen

npj Digit. Medicine, 2023

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study.

Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Self-Supervised Speech Representation Learning: A Review.

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

IEEE J. Sel. Top. Signal Process., 2022

A Brief Overview of Unsupervised Neural Speech Representation Learning.

Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel

CoRR, 2022

Benchmarking Generative Latent Variable Models for Speech.

Jakob D. Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe

CoRR, 2022

Model-agnostic out-of-distribution detection using combined statistical tests.

Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?

Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel

CoRR, 2021

Hierarchical VAEs Know What They Don't Know.

Jakob Drachmann Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe

Proceedings of the 38th International Conference on Machine Learning, 2021

On Scaling Contrastive Representations for Low-Resource Speech Recognition.

Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe, Christian Igel

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech.

Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jakobsen, Regitze Sdun, Zeljko Agic

CoRR, 2020

Do End-to-End Speech Recognition Models Care About Context?

Lasse Borgholt, Jakob D. Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

MultiQT: Multimodal learning for real-time question tracking in speech.

Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun, Zeljko Agic

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling.

Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Generative Models for Semi-Supervised Machine Learning.

Lars Maaløe

PhD thesis, 2018

On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition.

Jan Kremer, Lasse Borgholt, Lars Maaløe

CoRR, 2018

2017

Utilizing Domain Knowledge in End-to-End Audio Processing.

Tycho Max Sylvester Tax, Jose Luis Diez Antich, Hendrik Purwins, Lars Maaløe

CoRR, 2017

Exploiting Nontrivial Connectivity for Automatic Speech Recognition.

Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax, Marco Singh, Lars Maaløe

CoRR, 2017

Semi-Supervised Generation with Cluster-aware Generative Models.

Lars Maaløe, Marco Fraccaro, Ole Winther

CoRR, 2017

2016

How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks.

Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther

CoRR, 2016

Ladder Variational Autoencoders.

Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Auxiliary Deep Generative Models.

Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Recurrent Spatial Transformer Networks.

Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther

CoRR, 2015

Deep Belief Nets for Topic Modeling.

Lars Maaloe, Morten Arngren, Ole Winther

CoRR, 2015