Tamas Madarasz
Cited by
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Context-and output layer-dependent long-term ensemble plasticity in a sensory circuit
Y Yamada, K Bhaukaurally, TJ Madarász, A Pouget, I Rodriguez, ...
Neuron 93 (5), 1198-1212. e5, 2017
Evaluation of ambiguous associations in the amygdala by learning the structure of the environment
TJ Madarasz, L Diaz-Mataix, O Akhand, EA Ycu, JE LeDoux, JP Johansen
Nature neuroscience 19 (7), 965-972, 2016
Better transfer learning with inferred successor maps
TJ Madarasz, TE Behrens
Advances in Neural Information Processing Systems, 9029-9040, 2019
Long-tail recognition via compositional knowledge transfer
S Parisot, PM Esperança, S McDonagh, TJ Madarasz, Y Yang, Z Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
LPI: Learned Positional Invariances for Transfer of Task Structure and Zero-shot Planning
T Madarasz
International Conference on Machine Learning 2022, Workshop on Responsible …, 2022
Learning transferable task schemas by representing causal invariances
TJ Madarasz, TE Behrens
International Conference on Learning Representations (ICLR) 2020, Workshop …, 2020
Evaluating contingencies by a dual system of learning the structure and the parameters of the environment.
T Madarasz, JE LeDoux, J Johansen
Proceedings of the 37th Annual Meeting of the Cognitive Science Society (CogSci), 2015
Supplementary Information for’Better transfer learning with inferred successor maps’
TJ Madarasz, TE Behrens
Supplementary Material: Long-tail Recognition via Compositional Knowledge Transfer
S Parisot, PM Esperança, S McDonagh, TJ Madarasz, Y Yang, Z Li
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