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Lars Maaløe
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2020 – today
- 2024
- [c10]Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo:
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records. EMNLP 2024: 4869-4890 - [i21]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 abs/2406.08958 (2024) - [i20]Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro:
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability. CoRR abs/2408.08137 (2024) - 2023
- [j2]Jonathan Wenstrup
, Jakob Drachmann Havtorn
A retrospective study on machine learning-assisted stroke recognition for medical helpline calls. npj Digit. Medicine 6 (2023) - [c9]Joakim Edin
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. SIGIR 2023: 2572-2582 - [i19]Joakim Edin
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. CoRR abs/2304.10909 (2023) - 2022
- [j1]Abdelrahman Mohamed, Hung-yi Lee
Self-Supervised Speech Representation Learning: A Review. IEEE J. Sel. Top. Signal Process. 16(6): 1179-1210 (2022) - [c8]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: 10753-10776 - [i18]Jakob D. Havtorn
Benchmarking Generative Latent Variable Models for Speech. CoRR abs/2202.12707 (2022) - [i17]Federico Bergamin, Pierre-Alexandre Mattei, Jakob D. Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen:
Model-agnostic out-of-distribution detection using combined statistical tests. CoRR abs/2203.01097 (2022) - [i16]Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin
A Brief Overview of Unsupervised Neural Speech Representation Learning. CoRR abs/2203.01829 (2022) - [i15]Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu
Self-Supervised Speech Representation Learning: A Review. CoRR abs/2205.10643 (2022) - 2021
- [c7]Lasse Borgholt
On Scaling Contrastive Representations for Low-Resource Speech Recognition. ICASSP 2021: 3885-3889 - [c6]Jakob Drachmann Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe:
Hierarchical VAEs Know What They Don't Know. ICML 2021: 4117-4128 - [i14]Lasse Borgholt, Tycho Max Sylvester Tax, Jakob Drachmann Havtorn
On Scaling Contrastive Representations for Low-Resource Speech Recognition. CoRR abs/2102.00850 (2021) - [i13]Jakob D. Havtorn
Hierarchical VAEs Know What They Don't Know. CoRR abs/2102.08248 (2021) - [i12]Lasse Borgholt, Jakob Drachmann Havtorn
Do End-to-End Speech Recognition Models Care About Context? CoRR abs/2102.09928 (2021) - [i11]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 abs/2111.14842 (2021) - 2020
- [c5]Jakob D. Havtorn, Jan Latko, Joakim Edin
MultiQT: Multimodal learning for real-time question tracking in speech. ACL 2020: 2370-2380 - [c4]Lasse Borgholt
Do End-to-End Speech Recognition Models Care About Context? INTERSPEECH 2020: 4352-4356 - [i10]Jakob D. Havtorn
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech. CoRR abs/2005.00812 (2020)
2010 – 2019
- 2019
- [c3]Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther:
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. NeurIPS 2019: 6548-6558 - [i9]Lars Maaløe
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling. CoRR abs/1902.02102 (2019) - 2018
- [b1]Lars Maaløe:
Deep Generative Models for Semi-Supervised Machine Learning. Technical University of Denmark, 2018 - [i8]Jan Kremer, Lasse Borgholt, Lars Maaløe:
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition. CoRR abs/1812.02308 (2018) - 2017
- [i7]Lars Maaløe
Semi-Supervised Generation with Cluster-aware Generative Models. CoRR abs/1704.00637 (2017) - [i6]Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax, Marco Singh, Lars Maaløe:
Exploiting Nontrivial Connectivity for Automatic Speech Recognition. CoRR abs/1711.10271 (2017) - [i5]Tycho Max Sylvester Tax, Jose Luis Diez Antich, Hendrik Purwins, Lars Maaløe:
Utilizing Domain Knowledge in End-to-End Audio Processing. CoRR abs/1712.00254 (2017) - 2016
- [c2]Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther:
Auxiliary Deep Generative Models. ICML 2016: 1445-1453 - [c1]Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther:
Ladder Variational Autoencoders. NIPS 2016: 3738-3746 - [i4]Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. CoRR abs/1602.02282 (2016) - [i3]Lars Maaløe
Auxiliary Deep Generative Models. CoRR abs/1602.05473 (2016) - 2015
- [i2]Lars Maaloe
Deep Belief Nets for Topic Modeling. CoRR abs/1501.04325 (2015) - [i1]Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe
Recurrent Spatial Transformer Networks. CoRR abs/1509.05329 (2015)
Coauthor Index
aka: Jakob Drachmann Havtorn
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last updated on 2024-12-02 21:25 CET by the dblp team
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