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Showing papers from The University of Tokyo/RIKEN-AIP Show all papers

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NeurIPS 2026The University of TokyoThe University of Tokyo/RIKEN-AIBayesian & probabilistic methods

Parallel Computation Algorithms and Convergence Guarantees for Mean-Field Langevin Dynamics

Yoshihito Okamoto, Huanjian Zhou, Taiji Suzuki

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of TokyoThe University of Tokyo/RIKEN-AIDeep learning theory

The Mechanism of Weak-to-Strong Generalization: Feature Elicitation from Latent Knowledge

Multi-step SGD enables weak-to-strong generalization by eliciting pre-trained features without catastrophic forgetting of off-target capabilities.

Ryoya Awano, Taiji Suzuki

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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