Eyal Dechter     Blog


43 Vassar St.
Bldg. 46 Rm. 4053
Cambridge, MA 02139



I am a graduate student at CoCoSci, the computational cognitive science group headed by Prof. Josh Tenenbaum at MIT's Department of Brain and Cognitive Sciences. My work focuses on developing computational models of concept acquisition by using techniques from program synthesis and probabilistic knowledge base induction.


  1. Rule, J., Dechter, E., & Tenenbaum, J. B. (2015). Representing and Learning a Large System of Number Concepts with Latent Predicate Networks. In Proceedings of the 37th Annual Meeting of the Cognitive Science Society. [link]
  2. Dechter, E., Rule, J., & Tenenbaum, J. B. (2015). Latent Predicate Networks: Concept Learning with Probabilistic Context-Sensitive Grammars. In 2015 AAAI Spring Symposium Series. [link]
  3. Ellis, K., Dechter, E., & Tenenbaum, J. B. (2015). Dimensionality Reduction via Program Induction. In 2015 AAAI Spring Symposium Series. [link]
  4. Lin, D., Dechter, E., Ellis, K., Tenenbaum, J. B., & Muggleton, S. (2014). Bias reformulation for one-shot function induction. In ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic - Including Prestigious Applications of Intelligent Systems (PAIS 2014) (pp. 525–530). doi:10.3233/978-1-61499-419-0-525 [link]
  5. Ellis, K., Dechter, E., Adams, R. P., & Tenenbaum, J. B. (2013). Learning Graphical Concepts. In NIPS Workshop on Constructive Machine Learning. [link]
  6. Dechter, E., Malmaud, J., Adams, R. P., & Tenenbaum, J. B. (2013). Bootstrap Learning via Modular Concept Discovery. In IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013. Retrieved from http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6890 [link]