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Asier Mujika
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2020 – today
- 2023
- [b1]Asier Mujika:
Harnessing Temporal Information: Methods for Long-term Dependency Learning in Autoregressive Models. ETH Zurich, Zürich, Switzerland, 2023 - [c6]Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, João Sacramento:
Online learning of long-range dependencies. NeurIPS 2023 - [i10]Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, João Sacramento:
Online learning of long-range dependencies. CoRR abs/2305.15947 (2023) - [i9]Asier Mujika:
Hierarchical Attention Encoder Decoder. CoRR abs/2306.01070 (2023) - 2022
- [c5]Robert Meier, Asier Mujika:
Open-Ended Reinforcement Learning with Neural Reward Functions. NeurIPS 2022 - [i8]Robert Meier, Asier Mujika:
Open-Ended Reinforcement Learning with Neural Reward Functions. CoRR abs/2202.08266 (2022)
2010 – 2019
- 2019
- [j1]Hafsteinn Einarsson, Marcelo Matheus Gauy, Johannes Lengler, Florian Meier, Asier Mujika, Angelika Steger, Felix Weissenberger:
The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates. Theor. Comput. Sci. 785: 150-170 (2019) - [c4]Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika, Anders Martinsson, Angelika Steger:
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning. ICML 2019: 604-613 - [i7]Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika, Anders Martinsson, Angelika Steger:
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning. CoRR abs/1902.03993 (2019) - [i6]Asier Mujika, Felix Weissenberger, Angelika Steger:
Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses. CoRR abs/1910.05245 (2019) - [i5]Florian Meier, Asier Mujika, Marcelo Matheus Gauy, Angelika Steger:
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions. CoRR abs/1910.05268 (2019) - 2018
- [c3]Hafsteinn Einarsson, Johannes Lengler, Marcelo Matheus Gauy, Florian Meier, Asier Mujika, Angelika Steger, Felix Weissenberger:
The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates. GECCO 2018: 1491-1498 - [c2]Asier Mujika, Florian Meier, Angelika Steger:
Approximating Real-Time Recurrent Learning with Random Kronecker Factors. NeurIPS 2018: 6594-6603 - [i4]Asier Mujika, Florian Meier, Angelika Steger:
Approximating Real-Time Recurrent Learning with Random Kronecker Factors. CoRR abs/1805.10842 (2018) - [i3]Hafsteinn Einarsson, Marcelo Matheus Gauy, Johannes Lengler, Florian Meier, Asier Mujika, Angelika Steger, Felix Weissenberger:
The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates. CoRR abs/1808.05566 (2018) - 2017
- [c1]Asier Mujika, Florian Meier, Angelika Steger:
Fast-Slow Recurrent Neural Networks. NIPS 2017: 5915-5924 - [i2]Asier Mujika, Florian Meier, Angelika Steger:
Fast-Slow Recurrent Neural Networks. CoRR abs/1705.08639 (2017) - 2016
- [i1]Asier Mujika:
Multi-task learning with deep model based reinforcement learning. CoRR abs/1611.01457 (2016)
Coauthor Index
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