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Madhavun Candadai Vasu
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2020 – today
- 2021
- [i7]Madhavun Candadai:
Information theoretic analysis of computational models as a tool to understand the neural basis of behaviors. CoRR abs/2106.05186 (2021) - 2020
- [j1]Madhavun Candadai
, Eduardo J. Izquierdo
infotheory: A C++/Python package for multivariate information theoretic analysis. J. Open Source Softw. 5(47): 1609 (2020) - [c7]Lauren V. Benson, Madhavun Candadai, Eduardo J. Izquierdo:
Neural reuse in multifunctional neural networks for control tasks. ALIFE 2020: 210-218 - [c6]Abe Leite, Madhavun Candadai, Eduardo J. Izquierdo:
Reinforcement learning beyond the Bellman equation: Exploring critic objectives using evolution. ALIFE 2020: 441-449 - [c5]Graham Todd, Madhavun Candadai, Eduardo J. Izquierdo:
Interaction Between Evolution and Learning in NK Fitness Landscapes. ALIFE 2020: 761-767
2010 – 2019
- 2019
- [c4]Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp:
On Training Flexible Robots using Deep Reinforcement Learning. IROS 2019: 4666-4671 - [i6]Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp, Arjun K. Bansal:
Hierarchical Policy Learning is Sensitive to Goal Space Design. CoRR abs/1905.01537 (2019) - [i5]Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp:
On Training Flexible Robots using Deep Reinforcement Learning. CoRR abs/1907.00269 (2019) - [i4]Madhavun Candadai, Eduardo J. Izquierdo:
infotheory: A C++/Python package for multivariate information theoretic analysis. CoRR abs/1907.02339 (2019) - 2018
- [c3]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Multifunctionality in embodied agents: Three levels of neural reuse. CogSci 2018 - [i3]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Three levels of neural reuse through the dynamical lens: structural network, autonomous dynamics and transient dynamics. CoRR abs/1802.03891 (2018) - 2017
- [c2]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. ICANN (1) 2017: 236-244 - [i2]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Evolution and Analysis of Embodied Spiking Neural Networks Reveals Task-Specific Clusters of Effective Networks. CoRR abs/1704.04199 (2017) - [i1]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. CoRR abs/1706.01831 (2017) - 2015
- [c1]Madhavun Candadai, Aashay Vanarase, Mei Mei, Ali A. Minai
ANSWER: An unsupervised attractor network method for detecting salient words in text corpora. IJCNN 2015: 1-8
Coauthor Index
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