activity
20202026
most citedOn (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination

Kevin Yandoka Denamganaï

Natural Language Autoencoders (NLAs) are proposed as oversight tools for language models: an Activation Verbaliser (AV) writes an English explanation of an activation vector, and a…

cs.LG2025

xInv: Explainable Optimization of Inverse Problems

Sean Memery, Kevin Denamganai, Anna Kapron-King +1

Inverse problems are central to a wide range of fields, including healthcare, climate science, and agriculture. They involve the estimation of inputs, typically via iterative optim…

cs.AI2025

CueTip: An Interactive and Explainable Physics-aware Pool Assistant

Sean Memery, Kevin Denamganai, Jiaxin Zhang +3

We present an interactive and explainable automated coaching assistant called CueTip for a variant of pool/billiards. CueTip's novelty lies in its combination of three features: a…

cs.CL2020★ 2 cited

On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator

Kevin Denamganaï, James Alfred Walker

The drivers of compositionality in artificial languages that emerge when two (or more) agents play a non-visual referential game has been previously investigated using approaches b…

cs.CL2020

ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games

Kevin Denamganaï, James Alfred Walker

Natural languages are powerful tools wielded by human beings to communicate information and co-operate towards common goals. Their values lie in some main properties like compositi…