Samuel Stanton
9 papers · 2020–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (22)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(5)
π₯
Mega-Team
(28)
β
The Questioner
Conferences
NIPS (4)
AISTATS (2)
ICML (2)
L4DC (1)
Top co-authors
Research topics
Keywords
bayesian optimization
(5)
gaussian process
(4)
active learning
(3)
uncertainty quantification
(2)
epistemic uncertainty
(1)
knowledge distillation
(1)
continuous control
(1)
model-based reinforcement learning
(1)
protein design
(1)
stochastic variational inference
(1)
multi-objective optimization
(1)
multi-armed bandit
(1)
denoising autoencoder
(1)
convolutional neural network
(1)
entropy regularization
(1)
inductive bia
(1)
lie group
(1)
world model
(1)
discrete diffusion
(1)
soft actor-critic
(1)
Papers
Protein Design with Guided Discrete Diffusion
NIPS 2023
Bayesian Optimization with Conformal Prediction Sets
AISTATS 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
NIPS 2023
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
ICML 2022
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
L4DC 2021
Does Knowledge Distillation Really Work?
NIPS 2021
Kernel Interpolation for Scalable Online Gaussian Processes
AISTATS 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
NIPS 2021
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
ICML 2020