#neural-architecture News & Analysis

78 articles tagged with #neural-architecture. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

78 articles

AIBullisharXiv – CS AI · Apr 136/10

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AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting

Researchers propose AR-KAN, a neural network combining autoregressive models with Kolmogorov-Arnold Networks for improved time series forecasting. The model addresses limitations of traditional deep learning approaches by integrating temporal memory preservation with nonlinear function approximation, demonstrating superior performance on both synthetic and real-world datasets.

AIBullisharXiv – CS AI · Apr 106/10

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$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models

Researchers introduce S³ (Stratified Scaling Search), a test-time scaling method for diffusion language models that improves output quality by reallocating compute during the denoising process rather than simple best-of-K sampling. The technique uses a lightweight verifier to evaluate and selectively resample candidate trajectories at each step, demonstrating consistent performance gains across mathematical reasoning and knowledge tasks without requiring model retraining.

AINeutralarXiv – CS AI · Mar 54/10

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Inhibitory Cross-Talk Enables Functional Lateralization in Attention-Coupled Latent Memory

Researchers developed a memory-augmented transformer that uses attention for retrieval, consolidation, and write-back operations, with lateralized memory banks connected through inhibitory cross-talk. The inhibitory coupling mechanism enables functional specialization between memory banks, achieving superior performance on episodic recall tasks while maintaining rule-based prediction capabilities.

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