Tag: output
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Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning
Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning arXiv:2508.16434v1 Announce Type: new Abstract: Deep Gaussian Processes (DGPs) are powerful surrogate models known for their flexibility and ability to capture complex functions. However, extending them to multi-output settings remains challenging due to the need for efficient dependency modeling. We propose the Deep Intrinsic Coregionalization…
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Multi-Output Conformal Regression: A Unified Comparative Study with New Conformity Scores
Multi-Output Conformal Regression: A Unified Comparative Study with New Conformity Scores arXiv:2501.10533v1 Announce Type: new Abstract: Quantifying uncertainty in multivariate regression is essential in many real-world applications, yet existing methods for constructing prediction regions often face limitations such as the inability to capture complex dependencies, lack of coverage guarantees, or high computational cost. Conformal prediction…
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Structured LLM Output Using Ollama
Structured LLM Output Using Ollama Control your model responses effectively Continue reading on Towards Data Science ยป Thomas Reid Go to original source