Lalchand, Vidhi

8 publications

TMLR 2025 Shared Stochastic Gaussian Process Latent Variable Models: A Multi-Modal Generative Model for Quasar Spectra Vidhi Lalchand, Anna-Christina Eilers

ICLRW 2024 Scalable Amortized GPLVMs for Single Cell Transcriptomics Data Sarah Zhao, Aditya Ravuri, Vidhi Lalchand, Neil D Lawrence

NeurIPSW 2024 Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response Leiv Rønneberg, Vidhi Lalchand

ICMLW 2023 Dimensionality Reduction as Probabilistic Inference Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D Lawrence

AISTATS 2022 Generalised GPLVM with Stochastic Variational Inference Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence

NeurIPS 2022 Sparse Gaussian Process Hyperparameters: Optimize or Integrate? Vidhi Lalchand, Wessel Bruinsma, David Burt, Carl Edward Rasmussen

NeurIPS 2021 Kernel Identification Through Transformers Fergus Simpson, Ian Davies, Vidhi Lalchand, Alessandro Vullo, Nicolas Durrande, Carl Edward Rasmussen

NeurIPS 2021 Marginalised Gaussian Processes with Nested Sampling Fergus Simpson, Vidhi Lalchand, Carl Edward Rasmussen