Leo Klarner

4 papers · 2023–2024 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

ICML (2) NeurIPS (2)

Top co-authors

Charlotte Deane (2) Garrett M Morris (2) Yee Whye Teh (2) Tim G. J. Rudner (2) Samuel Stanton (1) Michael Hutchinson (1) Jacob Moss (1) Bingqing Cheng (1) Sang Truong (1) Yuanqi Du (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Application Areas (2) Bayesian & Probabilistic (2) Models (2) Optimization & Theory (2) Healthcare & Medicine (1) Learning Paradigms (1) Research (1) Techniques (1)

Keywords

drug discovery (2) domain adaptation (1) bayesian inference (1) uncertainty quantification (1) constrained generation (1) deep learning (1) out-of-distribution generalization (1) gaussian process (1) covariate shift (1) protein design (1) prior distribution (1) riemannian manifold (1) probabilistic model (1) diffusion model (1) molecular representation (1) unlabeled data (1) smoothness constraint (1) bayesian optimisation (1) kernel methods (1) metropolis sampling (1)

Papers

Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design ICML 2024 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 Metropolis Sampling for Constrained Diffusion Models NeurIPS 2023