Ravuri, Aditya

8 publications

ICML 2025 Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models Konstantin Donhauser, Kristina Ulicna, Gemma Elyse Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason Hartford

ICLRW 2025 Weakly Supervised Latent Variable Inference of Proximity Bias in CRISPR Gene Knockouts from Single-Cell Images Aditya Ravuri, Kristina Ulicna, Jana Osea, Konstantin Donhauser, Jason Hartford

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

NeurIPSW 2024 Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts from Microscopy Foundation Models Konstantin Donhauser, Gemma Elyse Moran, Aditya Ravuri, Kian Kenyon-Dean, Kristina Ulicna, Cian Eastwood, Jason Hartford

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

NeurIPS 2023 GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian 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 Lee, Bingqing Cheng, Alan Aspuru-Guzik, Philippe Schwaller, Jian Tang

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

ICMLW 2022 GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang T. Truong, Bojana Rankovic, Yuanqi Du, Arian Rokkum Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha Lee, Philippe Schwaller, Jian Tang