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Vidhi Lalchand

Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer

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Jun 28, 2024
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Scalable Amortized GPLVMs for Single Cell Transcriptomics Data

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May 06, 2024
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Dimensionality Reduction as Probabilistic Inference

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Apr 15, 2023
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Sparse Gaussian Process Hyperparameters: Optimize or Integrate?

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Nov 04, 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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Kernel Learning for Explainable Climate Science

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Sep 11, 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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Kernel Identification Through Transformers

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Jun 15, 2021
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Marginalised Gaussian Processes with Nested Sampling

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Oct 30, 2020
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A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application

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Jan 19, 2020
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