Good Papers

Showing papers from Lawrence Berkeley National Lab Show all papers

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NeurIPS 2026Lawrence Berkeley National LabLawrence Berkeley National LaborKernels & Gaussian processes

A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings

Marcus Noack, Maher B Alghalayini, Mark D Risser

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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0/20 AI panelreviewers recommend it

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
83%Must read
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NeurIPS 2026CornellU California, BerkeleyLawrence Berkeley National LabTime series foundation models

Continuity Laws for Sequential Models

State-space sequential models vary in temporal continuity, with continuous behavior aligning to task structure and enabling efficient subsampling.

Annan Yu, Dongwei Lyu, N. Benjamin Erichson

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
89%Must read
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NeurIPS 2026NVIDIANVIDIA CorporationWashington University in St. LouDeepMindLBNLWeather & climate

Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet

STRATA is an autoregressive AI emulator for global storm-resolving atmospheric dynamics that achieves 50× better energy efficiency and stable 24-hour rollouts on limited training data.

Zeyuan Hu, Noah Brenowitz, Akshay Subramaniam, Jaideep Pathak and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
76%Highly rated
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NeurIPS 2026Lawrence Berkeley National LaborLos Alamos National LaboratoryLawrence Berkeley National LabOptimization

Fast and Stable Gradient Approximation for Bilinear Forms of Hermitian Matrix Functions

A forward-only gradient approximation for bilinear forms of Hermitian matrix functions reuses the Lanczos pass with minimal overhead, offering provable error bounds and unconditional stability without reorthogonalization.

Navjot Singh, Kipton Barros, Sherry Li

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 2/5
89%Must read
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NeurIPS 2026U California, BerkeleyU California, RiversideLawrence Berkeley National LabJailbreaks & red teaming

MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks

MT-JailBench provides a modular framework for comparing multi-turn jailbreak attacks under standardized conditions, finding that prompt generation drives success and recomposed components yield stronger attacks.

Xinkai Zhang, Zhipeng Wei, Huanli Gong, Jing Ting Zheng and 3 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5