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NeurIPS 2026UTokyoAutoML & architecture search

Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation

Naoya Takeishi

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026UTokyoTsinghua University, TsinghuaTsinghuaLLM pretraining & scaling laws

Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes

LIU Hanqing, Jianjun Cao, Yuanze Li, Zijian Zhou

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026ZhejiangThe University of TokyoUTokyoPhysics-informed ML & PDEs

M$^3$: Reframing Training Measures for Discretized Physical Simulations

M³ balances training measures via multi-scale Morton partitioning to reduce measure-induced bias, cutting volumetric simulation errors up to 4.7× and outperforming high-resolution training under aggressive subsampling.

Yuan Mei, Xingyu Song, Xiaowen Song, Naoya Takeishi

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

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5