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Aditya Ravuri

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs

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Jul 10, 2024
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On Feature Learning for Titi Monkey Activity Detection

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Jul 01, 2024
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Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE

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May 27, 2024
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Scalable Amortized GPLVMs for Single Cell Transcriptomics Data

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May 06, 2024
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Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Prediction

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Dec 25, 2023
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Dimensionality Reduction as Probabilistic Inference

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Apr 15, 2023
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GAUCHE: A Library for Gaussian Processes in Chemistry

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Dec 06, 2022
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Ice Core Dating using Probabilistic Programming

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Oct 29, 2022
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Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs

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Sep 14, 2022
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Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference

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Apr 09, 2022
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