Wouter Boomsma
8 papers · 2017–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
π
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(6)
Optimization & Theory
(5)
Bayesian & Probabilistic Β· Machine Learning
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Mathematics
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Learning Types
(1)
Models
(1)
Research
(1)
Keywords
gaussian process
(2)
cholesky decomposition
(2)
protein structure
(2)
uncertainty quantification
(1)
discrete optimization
(1)
exact inference
(1)
kernel matrix
(1)
sequence optimization
(1)
drug design
(1)
high-dimensional optimization
(1)
bayesian optimization
(1)
posterior approximation
(1)
model evidence
(1)
determinantal point process
(1)
convolutional network
(1)
convolutional neural network
(1)
language model
(1)
protein variant effect
(1)
gaussian process regression
(1)
posterior distribution
(1)
Papers
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
NeurIPS 2024
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
ICLR 2024
Kermut: Composite kernel regression for protein variant effects
NeurIPS 2024
Adaptive Cholesky Gaussian Processes
AISTATS 2023
Implicit Variational Inference for High-Dimensional Posteriors
NeurIPS 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
NeurIPS 2018
Spherical convolutions and their application in molecular modelling
NeurIPS 2017