Aditya Ravuri

4 papers · 2022–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

AISTATS (1) ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Jacob Moss (1) Julius Schwartz (1) Konstantin Donhauser (1) Samuel Stanton (1) Yuanqi Du (1) Sang Truong (1) Bingqing Cheng (1) Alpha Lee (1) Gregory Kell (1) Simon Frieder (1)

Research topics

Artificial Intelligence (4) Machine Learning (3) Bayesian & Probabilistic · Artificial Intelligence (3) Core Methods (2) Deep Learning (1) Application Areas (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1) Learning Paradigms (1) Learning Types (1) Models (1) Optimization & Theory (1)

Keywords

gaussian process (3) kernel methods (2) uncertainty quantification (2) gaussian processes (1) stochastic variational inference (1) latent variable model (1) heat kernel (1) fourier feature (1) molecular representation (1) geometric learning (1) genetic perturbation (1) matern kernel (1) bayesian optimisation (1) cell type (1) chemical reaction optimisation (1) pca whitening (1) biological concepts (1) dictionary learning (1) iterative codebook feature learning (1) unsupervised learning (1)

Papers

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025 Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models ICML 2025 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 Generalised GPLVM with Stochastic Variational Inference AISTATS 2022