Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. - Dianbo Liu; Alex Lamb; Xu Ji; Pascal Notsawo; Michael Mozer; Yoshua Bengio; Kenji Kawaguchi (CoRR, 2022)

Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. - Dianbo Liu; Alex Lamb; Xu Ji; Pascal Tikeng Notsawo Jr.; Michael Mozer; Yoshua Bengio; Kenji Kawaguchi (AAAI, 2023)

Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok. - Pascal Tikeng Notsawo Jr.; Hattie Zhou; Mohammad Pezeshki; Irina Rish; Guillaume Dumas (CoRR, 2023)

Stochastic Average Gradient : A Simple Empirical Investigation. - Pascal Tikeng Notsawo Jr. (CoRR, 2023)

Lost in Translation: The Algorithmic Gap Between LMs and the Brain. - Tommaso Tosato; Pascal Tikeng Notsawo Jr.; Saskia Helbling; Irina Rish; Guillaume Dumas (CoRR, 2024)

Grokking Beyond the Euclidean Norm of Model Parameters. - Pascal Tikeng Notsawo Jr.; Guillaume Dumas; Guillaume Rabusseau (CoRR, 2025)