Wouter Boomsma
8 papers · 2017–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (7) π Cross-Pollinator (15)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(17)
Conferences
NIPS (5)
AISTATS (1)
ICLR (1)
JMLR (1)
Top co-authors
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)
uncertainty estimation
(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)
protein variant effect
(1)
drug design
(1)
gaussian process regression
(1)
posterior distribution
(1)
Papers
Kermut: Composite kernel regression for protein variant effects
NIPS 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
NIPS 2024
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
ICLR 2024
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
Implicit Variational Inference for High-Dimensional Posteriors
NIPS 2023
Adaptive Cholesky Gaussian Processes
AISTATS 2023
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
NIPS 2018
Spherical convolutions and their application in molecular modelling
NIPS 2017