Zobrazeno 1 - 3
of 3
pro vyhledávání: '"von K��gelgen, Julius"'
Autor:
Makansi, Osama, von K��gelgen, Julius, Locatello, Francesco, Gehler, Peter, Janzing, Dominik, Brox, Thomas, Sch��lkopf, Bernhard
Predicting the future trajectory of a moving agent can be easy when the past trajectory continues smoothly but is challenging when complex interactions with other agents are involved. Recent deep learning approaches for trajectory prediction show pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dee1fd369d6f3107918a1fd95e6203e
http://arxiv.org/abs/2110.05304
http://arxiv.org/abs/2110.05304
Publikováno v:
36th Conference on Uncertainty in Artificial Intelligence (UAI 2020)
Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI)
Proceedings of Machine Learning Research (PMLR)
Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI)
Proceedings of Machine Learning Research (PMLR)
While the success of semi-supervised learning (SSL) is still not fully understood, Sch\"olkopf et al. (2012) have established a link to the principle of independent causal mechanisms. They conclude that SSL should be impossible when predicting a targ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b0539f61fd3a1f8f6a282672e8640b
https://hdl.handle.net/21.11116/0000-000B-30CD-8
https://hdl.handle.net/21.11116/0000-000B-30CD-8
Autor:
von K��gelgen, Julius, Ustyuzhaninov, Ivan, Gehler, Peter, Bethge, Matthias, Sch��lkopf, Bernhard
Publikováno v:
ICLR 2020 Workshop "Causal Learning for Decision Making" (CLDM)
Learning how to model complex scenes in a modular way with recombinable components is a pre-requisite for higher-order reasoning and acting in the physical world. However, current generative models lack the ability to capture the inherently compositi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845f16b028a30ea8279b29277ee97f8c
https://causalrlworkshop.github.io/papers.html
https://causalrlworkshop.github.io/papers.html