Teaching Machines to Read and Comprehend. - Karl Moritz Hermann; Tomás Kociský; Edward Grefenstette; Lasse Espeholt; Will Kay; Mustafa Suleyman; Phil Blunsom (NIPS, 2015)

Conditional Image Generation with PixelCNN Decoders. - Aäron van den Oord; Nal Kalchbrenner; Lasse Espeholt; Koray Kavukcuoglu; Oriol Vinyals; Alex Graves (NIPS, 2016)

Neural Machine Translation in Linear Time. - Nal Kalchbrenner; Lasse Espeholt; Karen Simonyan; Aäron van den Oord; Alex Graves; Koray Kavukcuoglu (CoRR, 2016)

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. - Lasse Espeholt; Hubert Soyer; Rémi Munos; Karen Simonyan; Volodymyr Mnih; Tom Ward; Yotam Doron; Vlad Firoiu; Tim Harley; Iain Dunning; Shane Legg; Koray Kavukcuoglu (ICML, 2018)

Multi-Task Deep Reinforcement Learning with PopArt. - Matteo Hessel; Hubert Soyer; Lasse Espeholt; Wojciech Czarnecki 001; Simon Schmitt; Hado van Hasselt (AAAI, 2019)

Google Research Football: A Novel Reinforcement Learning Environment. - Karol Kurach; Anton Raichuk; Piotr Stanczyk; Michal Zajac 005; Olivier Bachem; Lasse Espeholt; Carlos Riquelme; Damien Vincent; Marcin Michalski; Olivier Bousquet; Sylvain Gelly (AAAI, 2020)

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. - Lasse Espeholt; Raphaël Marinier; Piotr Stanczyk; Ke Wang; Marcin Michalski (ICLR, 2020)

MetNet: A Neural Weather Model for Precipitation Forecasting. - Casper Kaae Sønderby; Lasse Espeholt; Jonathan Heek; Mostafa Dehghani 001; Avital Oliver; Tim Salimans; Shreya Agrawal; Jason Hickey; Nal Kalchbrenner (CoRR, 2020)

Agent-Centric Representations for Multi-Agent Reinforcement Learning. - Wenling Shang; Lasse Espeholt; Anton Raichuk; Tim Salimans (CoRR, 2021)

Boosting Search Engines with Interactive Agents. - Leonard Adolphs; Benjamin Börschinger; Christian Buck; Michelle Chen Huebscher; Massimiliano Ciaramita; Lasse Espeholt; Thomas Hofmann; Yannic Kilcher (CoRR, 2021)

Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. - Lasse Espeholt; Shreya Agrawal; Casper Kaae Sønderby; Manoj Kumar; Jonathan Heek; Carla Bromberg; Cenk Gazen; Jason Hickey; Aaron Bell; Nal Kalchbrenner (CoRR, 2021)

Boosting Search Engines with Interactive Agents. - Leonard Adolphs; Benjamin Börschinger; Christian Buck; Michelle Chen Huebscher; Massimiliano Ciaramita; Lasse Espeholt; Thomas Hofmann; Yannic Kilcher; Sascha Rothe; Pier Giuseppe Sessa; Lierni Sestorain (Trans. Mach. Learn. Res., 2022)

Deep Learning for Day Forecasts from Sparse Observations. - Marcin Andrychowicz; Lasse Espeholt; Di Li; Samier Merchant; Alex Merose; Fred Zyda; Shreya Agrawal; Nal Kalchbrenner (CoRR, 2023)