Good Papers

Showing papers from Lawrence Berkeley National Laboratory Show all papers

45%Niche pick
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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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
88%Must read
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Asymmetric Phase Coding Audio Watermarking

Asymmetric Phase Coding embeds Ed25519 signatures into audio via phase-bin QIM for blind, training-free cryptographic verification resilient to cropping, compression, and resampling.

Guang Yang, Fengchen Liu, Amir Ghasemian, Zhong Wang and 2 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
76%Highly rated
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On Neural Scaling Laws for Weather Emulation through Continual Training

Minimal Swin Transformer weather emulators trained with continual training and periodic cooldowns follow predictable neural scaling laws, outperform cosine schedules, and reveal compute-optimal regimes.

Shashank Subramanian, Alexander Kiefer, Arnur Nigmetov, Amir Gholami and 2 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · Code ★ 3

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
76%Highly rated
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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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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 2/5