LLapDiff generates long-horizon forecasts and imputes missing values for irregular multivariate time series by parameterizing latent trajectory evolution in the Laplace domain with complex-conjugate poles instead of sequential integration.
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Multi-agent LLM systems discover new Transformer and hybrid architectures that outperform Llama 3.2 at 1B scale and approach human SOTA on long-range benchmarks.
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Latent Laplace Diffusion for Irregular Multivariate Time Series
LLapDiff generates long-horizon forecasts and imputes missing values for irregular multivariate time series by parameterizing latent trajectory evolution in the Laplace domain with complex-conjugate poles instead of sequential integration.
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Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
Multi-agent LLM systems discover new Transformer and hybrid architectures that outperform Llama 3.2 at 1B scale and approach human SOTA on long-range benchmarks.