Abram (Abe) Friesen
Abram (Abe) Friesen
Senior Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Estimating the progress of MapReduce pipelines
K Morton, AL Friesen, M Balazinska, D Grossman
Data Engineering (ICDE), 2010 IEEE 26th International Conference on, 681-684, 2010
Recursive decomposition for nonconvex optimization
AL Friesen, P Domingos
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
On the role of planning in model-based deep reinforcement learning
JB Hamrick, AL Friesen, F Behbahani, A Guez, F Viola, S Witherspoon, ...
arXiv preprint arXiv:2011.04021, 2020
The sum-product theorem: A foundation for learning tractable models
AL Friesen, P Domingos
International Conference on Machine Learning, 1909-1918, 2016
How prior probability influences decision making: A unifying probabilistic model
Y Huang, AL Friesen, T Hanks, M Shadlen, RP Rao
Advances in neural information processing systems, 1268-1276, 2012
Modular meta-learning with shrinkage
Y Chen, AL Friesen, F Behbahani, A Doucet, D Budden, M Hoffman, ...
Advances in Neural Information Processing Systems 33, 2858-2869, 2020
Deep learning as a mixed convex-combinatorial optimization problem
AL Friesen, P Domingos
arXiv preprint arXiv:1710.11573, 2017
Gaze following as goal inference: A Bayesian model
AL Friesen, RPN Rao
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
A Bayesian developmental approach to robotic goal-based imitation learning
MJY Chung, AL Friesen, D Fox, AN Meltzoff, RPN Rao
PloS one 10 (11), e0141965, 2015
Imitation learning with hierarchical actions
AL Friesen, RPN Rao
2010 IEEE 9th International conference on development and learning, 263-268, 2010
Unifying sum-product networks and submodular fields
AL Friesen, P Domingos
Proceedings of the Workshop on Principled Approaches to Deep Learning at …, 2017
Submodular field grammars: representation, inference, and application to image parsing
AL Friesen, PM Domingos
Advances in Neural Information Processing Systems 31, 2018
Introducing symmetries to black box meta reinforcement learning
L Kirsch, S Flennerhag, H van Hasselt, AL Friesen, J Oh, Y Chen
arXiv preprint arXiv:2109.10781, 2021
An ideal observer model for identifying the reference frame of objects
J Austerweil, AL Friesen, T Griffiths
Advances in neural information processing systems 24, 2011
Retrieval-Augmented Reinforcement Learning
A Goyal, AL Friesen, A Banino, T Weber, NR Ke, AP Badia, A Guez, ...
arXiv preprint arXiv:2202.08417, 2022
Nonconvex optimization is combinatorial optimization
AL Friesen, P Domingos
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
A Filos, E Vértes, Z Marinho, G Farquhar, D Borsa, A Friesen, ...
arXiv preprint arXiv:2112.04153, 2021
The Sum-Product Theorem and its Applications
A Friesen
Submodular Sum-product Networks for Scene Understanding
AL Friesen, P Domingos
Erprobung telemedizinisch diagnostischer Geräte im Rahmen des Projektes FlyNet-Abschlussbericht Projekt DLR-LH-Telemed. Version 1.0 e, 28.06. 04
M Meier, P Domin, A Friesen, M Lindlar
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