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Lasse Espeholt
Lasse Espeholt
Google Brain Amsterdam
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Teaching machines to read and comprehend
KM Hermann, T Kocisky, E Grefenstette, L Espeholt, W Kay, M Suleyman, ...
Advances in neural information processing systems 28, 2015
29492015
Conditional image generation with pixelcnn decoders
A Van den Oord, N Kalchbrenner, L Espeholt, O Vinyals, A Graves
Advances in neural information processing systems 29, 2016
19452016
Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures
L Espeholt, H Soyer, R Munos, K Simonyan, V Mnih, T Ward, Y Doron, ...
International conference on machine learning, 1407-1416, 2018
10252018
Neural machine translation in linear time
N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ...
arXiv preprint arXiv:1610.10099, 2016
5182016
Multi-task deep reinforcement learning with popart
M Hessel, H Soyer, L Espeholt, W Czarnecki, S Schmitt, H van Hasselt
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3796-3803, 2019
1732019
Metnet: A neural weather model for precipitation forecasting
CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ...
arXiv preprint arXiv:2003.12140, 2020
1152020
Google research football: A novel reinforcement learning environment
K Kurach, A Raichuk, P Stańczyk, M Zając, O Bachem, L Espeholt, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4501-4510, 2020
992020
Seed rl: Scalable and efficient deep-rl with accelerated central inference
L Espeholt, R Marinier, P Stanczyk, K Wang, M Michalski
arXiv preprint arXiv:1910.06591, 2019
832019
Reading comprehension neural networks
KM Hermann, T Kocisky, ET Grefenstette, L Espeholt, WT Kay, ...
US Patent 10,628,735, 2020
222020
MetNet: A neural weather model for precipitation forecasting
C Kaae Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ...
arXiv e-prints, arXiv: 2003.12140, 2020
172020
Processing text sequences using neural networks
NE Kalchbrenner, K Simonyan, L Espeholt
US Patent 10,354,015, 2019
162019
Skillful twelve hour precipitation forecasts using large context neural networks
L Espeholt, S Agrawal, C Sønderby, M Kumar, J Heek, C Bromberg, ...
arXiv preprint arXiv:2111.07470, 2021
152021
Conditional image generation with PixelCNN decoders
N Kalchbrenner, L Espeholt, O Vinyals, A Graves
Advances in Neural Information Processing Systems, 2016
152016
Method for modeling source code having code segments that lack source location
J Van Gogh, SF Yegge, MJ Fromberger, A Shali, GS West, JA Dennett, ...
US Patent 9,116,780, 2015
72015
Boosting search engines with interactive agents
L Adolphs, B Boerschinger, C Buck, MC Huebscher, M Ciaramita, ...
arXiv preprint arXiv:2109.00527, 2021
52021
Agent-centric representations for multi-agent reinforcement learning
W Shang, L Espeholt, A Raichuk, T Salimans
arXiv preprint arXiv:2104.09402, 2021
42021
Processing sequences using convolutional neural networks
AGA van den Oord, SEL Dieleman, NE Kalchbrenner, K Simonyan, ...
US Patent 11,080,591, 2021
32021
Speech recognition using convolutional neural networks
AGA van den Oord, SEL Dieleman, NE Kalchbrenner, K Simonyan, ...
US Patent 10,586,531, 2020
22020
Processing sequences using convolutional neural networks
AGA van den Oord, SEL Dieleman, NE Kalchbrenner, K Simonyan, ...
US Patent App. 17/375,250, 2021
12021
Deep learning for twelve hour precipitation forecasts
L Espeholt, S Agrawal, C Sønderby, M Kumar, J Heek, C Bromberg, ...
Nature communications 13 (1), 1-10, 2022
2022
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