( en | de | ru )

 

Disambiguation of "Henaff, Mikael"

Author of the publication

copydeleteadd this publication to your clipboard
Fast Training of Convolutional Networks through FFTs.

, , and . ICLR (Poster), (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mikael Agopov

Mikael Högqvist

Mikael Vaaraniemi

Mikael Simons

Mikael Berndtsson

 

Other publications of authors with the same name

Prediction Under Uncertainty with Error-Encoding Networks., , and . CoRR, (2017)Orthogonal RNNs and Long-Memory Tasks., , and . CoRR, (2016)The Loss Surface of Multilayer Networks., , , , and . CoRR, (2014)The Loss Surfaces of Multilayer Networks, , , , and . (2014)cite arxiv:1412.0233.Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6961-6971. PMLR, (2020)A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 12972-12999. PMLR, (2023)Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery., , , , , , and . J. Mach. Learn. Res., (2015)Recurrent Orthogonal Networks and Long-Memory Tasks., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2034-2042. JMLR.org, (2016)The Loss Surfaces of Multilayer Networks., , , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Motif: Intrinsic Motivation from Artificial Intelligence Feedback., , , , , , , and . CoRR, (2023)