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  • Elias Aoun-Durand

  • PhD student
  • Team: ACIDE
  • Email: aoundurand@isir.upmc.fr
  • Phone:06 48 85 18 37
  • Bio: PhD in computational neursocience in AMAC at ISIR and GATE-LSE in Lyon supervised by Mehdi Khamassi and Mateus Joffily. I'm interested in neuro-computational bases for causal learning in human. In particular, I'm working on causal reinforcement learning models for decision-making.

Publications

  • Elias Aoun Durand, Mateus Joffily, Mehdi Khamassi. A Diffusion Model-Based Approach to Active Inference. 2024 IEEE International Conference on Future of Machine Learning and Data Science (FMLDS 2024), IEEE, Nov 2024, Sydney, Australia. ⟨hal-04755289⟩
    [ HTTP | PDF ]
  • Elias Aoun Durand, Mateus Joffily, Mehdi Khamassi. Incentivizing Exploration With Causal Curiosity as Intrinsic Motivation. Intrinsically Motivated Open-ended Learning workshop at NeurIPS 2024, Dec 2024, Vancouver, Canada. ⟨hal-04822149⟩
    [ HTTP | PDF ]