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Found 3 papers, 1 papers with code
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
Capturing data from dynamic processes through cross-sectional measurements is seen in many fields such as computational biology.
Surprisal Driven $k$-NN for Robust and Interpretable Nonparametric Learning
Nonparametric learning is a fundamental concept in machine learning that aims to capture complex patterns and relationships in data without making strong assumptions about the underlying data distribution.
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
Objective and subjective evaluations show that \textit{Phoneme Hallucinator} outperforms existing VC methods for both intelligibility and speaker similarity.
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