HyperDn is a configuration-conditioned predictor that transfers oracle supervision across denoising paradigms to achieve near-oracle hyperparameter prediction with few or zero target labels.
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Probabilistic PCA latent-space model with Bayesian inference reconstructs TNO near-IR spectra from photometry, achieving 95% credible-interval coverage and supporting taxonomy plus survey optimization.
HAVEN provides a hierarchically aligned multimodal dataset and evaluation suite for video summarization, temporal reasoning, grounding, and saliency in MLLMs.
citing papers explorer
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Oracle Supervision Transfers for Hyperparameter Prediction in Model-Based Image Denoising
HyperDn is a configuration-conditioned predictor that transfers oracle supervision across denoising paradigms to achieve near-oracle hyperparameter prediction with few or zero target labels.
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Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection
Probabilistic PCA latent-space model with Bayesian inference reconstructs TNO near-IR spectra from photometry, achieving 95% credible-interval coverage and supporting taxonomy plus survey optimization.
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HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video Understanding
HAVEN provides a hierarchically aligned multimodal dataset and evaluation suite for video summarization, temporal reasoning, grounding, and saliency in MLLMs.