Wessel Bruinsma
8 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (18) 🔥 Unstoppable · Bronze
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The Questioner
(2)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Optimization & Theory
(5)
Deep Learning
(4)
Core Methods
(3)
Learning Paradigms · Machine Learning
(3)
Architectures
(2)
Models
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types
(1)
Keywords
gaussian process
(2)
neural process
(2)
conditional neural process
(2)
variational inference
(2)
maximum likelihood
(2)
markov chain monte carlo
(1)
posterior distribution
(1)
exact inference
(1)
sparse approximation
(1)
generalization error
(1)
multi-output regression
(1)
maximum likelihood estimation
(1)
prior distribution
(1)
scalable inference
(1)
autoregressive model
(1)
pac-bayes bound
(1)
convolutional neural network
(1)
multi-output gaussian process
(1)
scalable model
(1)
translation equivariance
(1)
Papers
Approximately Equivariant Neural Processes
NeurIPS 2024
Autoregressive Conditional Neural Processes
ICLR 2023
Practical Conditional Neural Process Via Tractable Dependent Predictions
ICLR 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
NeurIPS 2022
How Tight Can PAC-Bayes be in the Small Data Regime?
NeurIPS 2021
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
NeurIPS 2020
Scalable Exact Inference in Multi-Output Gaussian Processes
ICML 2020
The Gaussian Process Autoregressive Regression Model (GPAR)
AISTATS 2019