Følg
Lars Maaløe
Lars Maaløe
Co-Founder & CTO at Corti | Adj. Assoc. Professor of Machine Learning
Bekræftet mail på corti.ai
Titel
Citeret af
Citeret af
År
Ladder variational autoencoders
CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther
Advances in Neural Information Processing Systems, 3738-3746, 2016
6392016
Auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
Proceedings of the International Conference on Machine Learning, 2016
4262016
BIVA: A very deep hierarchy of latent variables for generative modeling
L Maaløe, M Fraccaro, V Liévin, O Winther
Advances in Neural Information Processing Systems, 2019
1222019
How to train deep variational autoencoders and probabilistic ladder networks
CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther
arXiv preprint arXiv:1602.02282, 2016
1142016
Recurrent spatial transformer networks
SK Sønderby, CK Sønderby, L Maaløe, O Winther
arXiv preprint arXiv:1509.05329, 2015
542015
Semi-supervised generation with cluster-aware generative models
L Maaløe, M Fraccaro, O Winther
NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
342017
Improving semi-supervised learning with auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
NIPS Workshop on Advances in Approximate Bayesian Inference, 2015
282015
Hierarchical VAEs Know What They Don't Know
JD Havtorn, J Frellsen, S Hauberg, L Maaløe
Proceedings of the International Conference on Machine Learning, 2021
202021
Deep belief nets for topic modeling
L Maaløe, M Arngren, O Winther
ICML workshop on Knowledge-Powered Deep Learning for Text Mining, 2015
182015
Utilizing Domain Knowledge in End-to-End Audio Processing
TMS Tax, JLD Antich, H Purwins, L Maaløe
NIPS workshop on machine learning for audio, 2017
102017
Development and implementation of a PV performance monitoring system based on inverter measurements
SV Spataru, A Gavriluta, D Sera, L Maaloe, O Winther
2016 IEEE Energy Conversion Congress and Exposition (ECCE), 1-7, 2016
82016
Towards Hierarchical Discrete Variational Autoencoders
V Liévin, A Dittadi, L Maaløe, O Winther
NeurIPS Workshop on Advances in Approximate Bayesian Inference, 2019
72019
Condition Monitoring in Photovoltaic Systems by Semi-Supervised Machine Learning
L Maaløe, O Winther, S Spataru, D Sera
Energies 13 (3), 584, 2020
62020
Do end-to-end speech recognition models care about context?
L Borgholt, JD Havtorn, Ž Agić, A Søgaard, L Maaløe, C Igel
INTERSPEECH 2020, 2021
52021
On scaling contrastive representations for low-resource speech recognition
L Borgholt, TMS Tax, JD Havtorn, L Maaløe, C Igel
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
42021
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition
J Kremer, L Borgholt, L Maaløe
NIPS Workshop on Interpretability and Robustness for Audio, Speech and Language, 2018
42018
Ladder variational autoencoder
CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther
29th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016
32016
A brief overview of unsupervised neural speech representation learning
L Borgholt, JD Havtorn, J Edin, L Maaløe, C Igel
arXiv preprint arXiv:2203.01829, 2022
22022
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
J Drachmann Havtorn, J Latko, J Edin, L Borgholt, L Maaløe, L Belgrano, ...
Association for Computational Linguistics, 2020
2*2020
Self-Supervised Speech Representation Learning: A Review
A Mohamed, H Lee, L Borgholt, JD Havtorn, J Edin, C Igel, K Kirchhoff, ...
arXiv preprint arXiv:2205.10643, 2022
12022
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–20