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https://ui.adsabs.harvard.edu/abs/2024arXiv240203300S/abstract DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models - ADS Mathematical reasoning poses a significant challenge for language models due to its complex and structured nature. In this paper, we introduce DeepSeekMath 7B,... mathematical reasoning open language models ads pushing limits https://ui.adsabs.harvard.edu/abs/2018arXiv180707996B/abstract Variance propagation for density surface models - ADS Spatially-explicit estimates of population density, together with appropriate estimates of uncertainty, are required in many management contexts. Density... surface models variance propagation density ads https://ui.adsabs.harvard.edu/abs/2010arXiv1001.2474P Fluid limit theorems for stochastic hybrid systems with application to neuron models - ADS This paper establishes limit theorems for a class of stochastic hybrid systems (continuous deterministic dynamic coupled with jump Markov processes) in the... hybrid systems models ads fluid limit theorems https://ui.adsabs.harvard.edu/abs/2020arXiv201002502S/abstract Denoising Diffusion Implicit Models - ADS Denoising diffusion probabilistic models (DDPMs) have achieved high quality image generation without adversarial training, yet they require simulating a Markov... denoising diffusion models ads implicit