Lasse Espeholt

According to our database, Lasse Espeholt authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

2022

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

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

CoRR, 2021

Agent-Centric Representations for Multi-Agent Reinforcement Learning.

Wenling Shang, Lasse Espeholt, Anton Raichuk, Tim Salimans

CoRR, 2021

2020

MetNet: A Neural Weather Model for Precipitation Forecasting.

Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner

CoRR, 2020

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference.

Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski

Proceedings of the 8th International Conference on Learning Representations, 2020

Google Research Football: A Novel Reinforcement Learning Environment.

Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-Task Deep Reinforcement Learning with PopArt.

Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Neural Machine Translation in Linear Time.

Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu

CoRR, 2016

Conditional Image Generation with PixelCNN Decoders.

Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Teaching Machines to Read and Comprehend.

Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015