← Search

Christian Belardi

2 accepted papers

2026

Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling

ICLR 2026poster

Guided diffusion sampling relies on approximating intractable likelihood scores, which introduces significant noise into the sampling dynamics. We propose using adaptive moment estimation to stabilize these noisy likelihood scores during sampling. Despite its simplicity, our approach achieves state-…

Cited by 0SourcecodeScholar
2026

Pre-training Limited Memory Language Models with Internal and External Knowledge

ICLR 2026poster

Neural language models are black-boxes--both linguistic patterns and factual knowledge are distributed across billions of opaque parameters. This entangled encoding makes it difficult to reliably inspect, verify, or update specific facts. We introduce Limited Memory Language Models (LMLM), a new cla…

Cited by 0SourcecodeScholar