Aditya Ravuri

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Gaussian Process

Top Venues

Publications

Aditya Ravuri, Neil D. Lawrence
Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE. CoRR (2024)
Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. CoRR (2024)
Sarah Zhao, Aditya Ravuri, Vidhi Lalchand, Neil D. Lawrence
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data. CoRR (2024)
Aditya Ravuri, Jen Muir, Neil D. Lawrence
On Feature Learning for Titi Monkey Activity Detection. CoRR (2024)
Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D. Lawrence
Dimensionality Reduction as Probabilistic Inference. CoRR (2023)
Aditya Ravuri, Erica Cooper, Junichi Yamagishi
Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Prediction. CoRR (2023)
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS (2023)
Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah A. Teichmann, Neil D. Lawrence
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs. MLCB (2022)
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang
GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR (2022)
Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference. CoRR (2022)
Aditya Ravuri, Tom R. Andersson, Ieva Kazlauskaite, Will Tebbutt, Richard E. Turner, J. Scott Hosking, Neil D. Lawrence, Markus Kaiser
Ice Core Dating using Probabilistic Programming. CoRR (2022)
Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence
Generalised GPLVM with Stochastic Variational Inference. AISTATS (2022)
Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah A. Teichmann, Neil D. Lawrence
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs. CoRR (2022)