Austin Tripp
7 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (23) 👥 Mega-Team · Squad
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Triple Crown
🌈
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(4)
Bayesian & Probabilistic
(3)
Core Methods
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Learning Paradigms
(2)
Optimization
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
kernel methods
(3)
gaussian process
(3)
retrosynthetic planning
(2)
bayesian optimisation
(2)
molecular property prediction
(2)
uncertainty quantification
(1)
kernel approximation
(1)
stochastic process
(1)
multi-step planning
(1)
reaction prediction
(1)
monte carlo tree search
(1)
bilevel optimization
(1)
generative model
(1)
greedy algorithm
(1)
tree search
(1)
random feature
(1)
linear system
(1)
drug discovery
(1)
value network
(1)
deep generative model
(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
NeurIPS 2023
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
ICLR 2023
Retrosynthetic Planning with Dual Value Networks
ICML 2023
Tanimoto Random Features for Scalable Molecular Machine Learning
NeurIPS 2023
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
NeurIPS 2020