ANSWER: An unsupervised attractor network method for detecting salient words in text corpora. - Madhavun Candadai; Aashay Vanarase; Mei Mei; Ali A. Minai (IJCNN, 2015)

Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. - Madhavun Candadai Vasu; Eduardo J. Izquierdo 001 (ICANN (1), 2017)

Evolution and Analysis of Embodied Spiking Neural Networks Reveals Task-Specific Clusters of Effective Networks. - Madhavun Candadai Vasu; Eduardo J. Izquierdo 001 (CoRR, 2017)

Multifunctionality in embodied agents: Three levels of neural reuse. - Madhavun Candadai Vasu; Eduardo J. Izquierdo 001 (CogSci, 2018)

Three levels of neural reuse through the dynamical lens: structural network, autonomous dynamics and transient dynamics. - Madhavun Candadai Vasu; Eduardo J. Izquierdo 001 (CoRR, 2018)

On Training Flexible Robots using Deep Reinforcement Learning. - Zach Dwiel; Madhavun Candadai; Mariano J. Phielipp (IROS, 2019)

Hierarchical Policy Learning is Sensitive to Goal Space Design. - Zach Dwiel; Madhavun Candadai; Mariano J. Phielipp; Arjun K. Bansal (CoRR, 2019)

Neural reuse in multifunctional neural networks for control tasks. - Lauren V. Benson; Madhavun Candadai; Eduardo J. Izquierdo 001 (ALIFE, 2020)

Reinforcement learning beyond the Bellman equation: Exploring critic objectives using evolution. - Abe Leite; Madhavun Candadai; Eduardo J. Izquierdo 001 (ALIFE, 2020)

Interaction Between Evolution and Learning in NK Fitness Landscapes. - Graham Todd; Madhavun Candadai; Eduardo J. Izquierdo 001 (ALIFE, 2020)

infotheory: A C++/Python package for multivariate information theoretic analysis. - Madhavun Candadai; Eduardo J. Izquierdo 001 (J. Open Source Softw., 2020)

Information theoretic analysis of computational models as a tool to understand the neural basis of behaviors. - Madhavun Candadai (CoRR, 2021)