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Vidhi Lalchand · SciRah

Researcher profile · Semantic Scholar

Vidhi Lalchand

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Vidhi Lalchand — researcher profile on SciRah

h-index: 8
Works: 22
Citations: 408

Most-cited papers

Algorithmic trading review
P. Treleaven, M. Galas, Vidhi Lalchand
2013CACM142 citations
Semantic Scholar
Approximate Inference for Fully Bayesian Gaussian Process Regression
Vidhi Lalchand, C. Rasmussen
2019Symposium on Advances in Approximate Bayesian Inference61 citations
Semantic Scholar
Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation
Ryan-Rhys Griffiths, Alexander A. Aldrick, Miguel Garcia-Ortegon, Vidhi Lalchand +1 more
2019Machine Learning: Science and Technology46 citations Open access
Semantic Scholar
Physics-informed Gaussian Process for Online Optimization of Particle Accelerators
A. Hanuka, Xiao-Biao Huang, Jane Shtalenkova, Dylan Kennedy +4 more
2020Physical Review Accelerators and Beams40 citations Open access
Semantic Scholar
Generalised GPLVM with Stochastic Variational Inference
Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence
2022International Conference on Artificial Intelligence and Statistics34 citations
Semantic Scholar
Kernel Identification Through Transformers
F. Simpson, I. Davies, Vidhi Lalchand, A. Vullo +2 more
2021Neural Information Processing Systems18 citations
Semantic Scholar
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
W. Bruinsma, David R. Burt, Vidhi Lalchand, C. Rasmussen
2022Neural Information Processing Systems13 citations Open access
Semantic Scholar
Marginalised Gaussian Processes with Nested Sampling
F. Simpson, Vidhi Lalchand, C. Rasmussen
2020Neural Information Processing Systems12 citations
Semantic Scholar
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference
Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence
2022arXiv.org7 citations
Semantic Scholar
Kernel Learning for Explainable Climate Science
Vidhi Lalchand, K. Tazi, Talay M Cheema, R. Turner +1 more
2022arXiv.org7 citations Open access
Semantic Scholar
Extracting more from boosted decision trees: A high energy physics case study
Vidhi Lalchand
2020arXiv.org7 citations
Semantic Scholar
Dimensionality Reduction as Probabilistic Inference
Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D. Lawrence
2023arXiv.org6 citations Open access
Semantic Scholar
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs
Vidhi Lalchand, Aditya Ravuri, E. Dann, N. Kumasaka +5 more
20226 citations
Semantic Scholar
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs
Vidhi Lalchand, Aditya Ravuri, E. Dann, N. Kumasaka +5 more
2022MLCB5 citations Open access
Semantic Scholar
A Fast and Greedy Subset-of-Data (SoD) Scheme for Sparsification in Gaussian processes
Vidhi Lalchand, A. Faul
20183 citations
Semantic Scholar
Marginalised Spectral Mixture Kernels with Nested Sampling
F. Simpson, Vidhi Lalchand
20201 citations
Semantic Scholar
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra
Vidhi Lalchand, A. Eilers
2025Trans. Mach. Learn. Res.0 citations
Semantic Scholar
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
Leiv Rønneberg, Vidhi Lalchand, Paul D. W. Kirk
2024arXiv.org0 citations
Semantic Scholar
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data
Sarah A. Zhao, Aditya Ravuri, Vidhi Lalchand, Neil D. Lawrence
2024arXiv.org0 citations
Semantic Scholar
A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application
Vidhi Lalchand
2020arXiv.org0 citations
Semantic Scholar
Gaussian Process Latent Variable Flows for Massively Missing Data
Vidhi Lalchand
20200 citations
Semantic Scholar
A Greedy approximation scheme for Sparse Gaussian process regression
Vidhi Lalchand, A. Faul
2018arXiv.org0 citations
Semantic Scholar

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