Austin Tripp
7 papers · 2020–2024 · 3 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (3) ๐ Renaissance Researcher (7) ๐ Interdisciplinary Bridge
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Cross-Pollinator
(15)
๐บ๏ธ
Taxonomy Completionist
(20)
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Triple Crown
๐ฅ
Mega-Team
(28)
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Trend Setter
Conferences
ICLR (3)
NIPS (3)
ICML (1)
Top co-authors
Keywords
kernel methods
(2)
sample efficiency
(1)
black-box optimization
(1)
uncertainty quantification
(1)
kernel approximation
(1)
gaussian process
(1)
multi-step planning
(1)
reaction prediction
(1)
generative model
(1)
tree search
(1)
random feature
(1)
drug discovery
(1)
value network
(1)
deep generative model
(1)
molecular representation
(1)
molecular property prediction
(1)
latent space optimization
(1)
retrosynthetic planning
(1)
bayesian optimisation
(1)
molecular synthesis
(1)
Papers
Retro-fallback: retrosynthetic planning in an uncertain world
ICLR 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
GAUCHE: A Library for Gaussian Processes in Chemistry
NIPS 2023
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
ICLR 2023
Tanimoto Random Features for Scalable Molecular Machine Learning
NIPS 2023
Retrosynthetic Planning with Dual Value Networks
ICML 2023
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
NIPS 2020