Mathias Berglund
Mathias Berglund
The Curious AI Company
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TitleCited byYear
Semi-supervised learning with ladder networks
A Rasmus, M Berglund, M Honkala, H Valpola, T Raiko
Advances in neural information processing systems, 3546-3554, 2015
Techniques for learning binary stochastic feedforward neural networks
T Raiko, M Berglund, G Alain, L Dinh
arXiv preprint arXiv:1406.2989, 2014
Improved Thermal Contact at Ultralow Temperatures between and Metals Containing Magnetic Impurities
O Avenel, MP Berglund, RG Gylling, NE Phillips, A Vetleseter, M Vuorio
Physical Review Letters 31 (2), 76, 1973
Scalable gradient-based tuning of continuous regularization hyperparameters
J Luketina, M Berglund, K Greff, T Raiko
International conference on machine learning, 2952-2960, 2016
Bidirectional recurrent neural networks as generative models
M Berglund, T Raiko, M Honkala, L Kärkkäinen, A Vetek, JT Karhunen
Advances in Neural Information Processing Systems, 856-864, 2015
Tagger: Deep unsupervised perceptual grouping
K Greff, A Rasmus, M Berglund, T Hao, H Valpola, J Schmidhuber
Advances in Neural Information Processing Systems, 4484-4492, 2016
A cryopump-operated rotating nuclear demagnetization cryostat for research on superfluid3He
RH Salmelin, JM Kyynäräinen, MP Berglund, JP Pekola
Journal of Low Temperature Physics 76 (1-2), 83-106, 1989
NMR Studies of Spin-Glass Dynamics
D Bloyet, E Varoquaux, C Vibet, O Avenel, MP Berglund
Physical Review Letters 40 (4), 250, 1978
Measuring the usefulness of hidden units in Boltzmann machines with mutual information
M Berglund, T Raiko, K Cho
Neural networks 64, 12-18, 2015
Coupling of zero sound to the real squashing mode in rotating
RH Salmelin, JP Pekola, AJ Manninen, K Torizuka, MP Berglund, ...
Physical review letters 63 (6), 620, 1989
Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence
M Berglund, T Raiko
arXiv preprint arXiv:1312.6002, 2013
Measuring the usefulness of hidden units in boltzmann machines with mutual information
M Berglund, T Raiko, KH Cho
International Conference on Neural Information Processing, 482-489, 2013
The new SMC dilution refrigerator
JM Kyynäräinen, MP Berglund, TO Niinikoski
AIP Conference Proceedings 343 (1), 555-561, 1995
Regularizing Trajectory Optimization with Denoising Autoencoders
R Boney, N Di Palo, M Berglund, A Ilin, J Kannala, A Rasmus, H Valpola
arXiv preprint arXiv:1903.11981, 2019
Unsupervised Networks, Stochasticity and Optimization in Deep Learning
M Berglund
Aalto University, 2017
Generating using a bidirectional rnn variations to music
M Honkala, LMJ Kärkkäinen, A Vetek, M Berglund
US Patent App. 15/081,654, 2016
Palveluiden logistiikan suorituskyvyn mittaaminen
MPE Berglund
Teknillinen korkeakoulu, 2007
Experimental studies of nuclear properties in solids below 50 mK
MP Berglund
Unsupervised Learning of Multiple Languages Using Recurrent Neural Networks
MP Nieto, M Berglund, T Raiko
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Articles 1–19