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On Compositional Learning Behaviours in Formal Mathematics
Kevin Yandoka Denamganaï
Self-evolving scientific agents capable of conquering the hard tail of formal mathematics require Compositional Learning Behaviours (CLBs) -- the capacity to ground and recombine n…
Language Model Inversion through End-to-End Differentiation
Kevin Yandoka Denamganaï, Kartic Subr
Despite emerging research on Language Models (LM), few approaches analyse the invertibility of LMs. That is, given a LM and a desirable target output sequence of tokens, determinin…
ETHER: Aligning Emergent Communication for Hindsight Experience Replay
Kevin Denamganaï, Kevin Yandoka Denamganaï, Daniel Hernandez +3
Hindsight Experience Replay (HER) enhances sample efficiency in goal-conditioned reinforcement learning (RL) by relabelling failed trajectories with goals that were actually achiev…
Visual Referential Games Further the Emergence of Disentangled Representations
Kevin Denamganaï, Sondess Missaoui, James Alfred Walker
Natural languages are powerful tools wielded by human beings to communicate information. Among their desirable properties, compositionality has been the main focus in the context o…
Meta-Referential Games to Learn Compositional Learning Behaviours
Kevin Denamganaï, Sondess Missaoui, James Alfred Walker
Human beings use compositionality to generalise from past experiences to novel experiences. We assume a separation of our experiences into fundamental atomic components that can be…