Pascal Jr. Tikeng Notsawo

Optimization · Machine Learning · Machine Unlearning

I learn stuff.

CV Publications Google Scholar GitHub LinkedIn Blog

Research Interests

Optimization Generalization Deep Learning Theory Grokking AI Alignment LLM Unlearning

News

May 2026 New preprint: Model Merging via Data-Free Covariance Estimation accepted as Oral at the CATS Workshop, ICML 2026.
May 2026 Recognized as an ICML 2026 Gold Reviewer (top 25%) and awarded complimentary registration.
Apr 2026 New paper: Grokking Finite-Dimensional Algebra accepted at ICML 2026.
Jul 2025 Grokking Beyond the Euclidean Norm of Model Parameters accepted at ICML 2025.

Selected Publications

Recent Work

Model Merging via Data-Free Covariance Estimation

Marawan Gamal Abdel Hameed, Derek Tam, Pascal Jr Tikeng Notsawo, Colin Raffel, Guillaume Rabusseau

CATS Workshop, ICML 2026 (Oral) · 2026

Model MergingCovariance EstimationTransfer Learning

Grokking Finite-Dimensional Algebra

Pascal Jr. Tikeng Notsawo, Guillaume Dumas, Guillaume Rabusseau

Forty-Third International Conference on Machine Learning (ICML 2026) · 2026

GrokkingAlgebraRepresentation LearningGeneralization

Grokking Beyond the Euclidean Norm of Model Parameters

Pascal Jr. Tikeng Notsawo, Guillaume Dumas, Guillaume Rabusseau

Forty-Second International Conference on Machine Learning (ICML) · 2025

GrokkingGeneralizationRegularizationDeep Learning

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