Nicolas Durrande
10 papers · 2018–2022 · 5 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5)
🐝
Cross-Pollinator
(13)
💎
Century Club
(10)
🔥
Unstoppable
(5)
Conferences
AISTATS (5)
NIPS (2)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
gaussian process
(9)
variational inference
(5)
sparse approximation
(3)
inducing point
(2)
automatic differentiation
(1)
automatic relevance determination
(1)
quantile regression
(1)
point process
(1)
precision matrix
(1)
inter-domain gp
(1)
gaussian markov random field
(1)
multi-output learning
(1)
state-space model
(1)
entropy search
(1)
activation function
(1)
fourier feature
(1)
spherical harmonics
(1)
intensity function
(1)
heteroscedastic noise
(1)
spectral representation
(1)
Papers
Bayesian quantile and expectile optimisation
UAI 2022
Kernel Identification Through Transformers
NIPS 2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
AISTATS 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
NIPS 2021
Matérn Gaussian Processes on Graphs
AISTATS 2021
Sparse Gaussian Processes with Spherical Harmonic Features
ICML 2020
Doubly Sparse Variational Gaussian Processes
AISTATS 2020
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
AISTATS 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
AISTATS 2019
Variational Fourier Features for Gaussian Processes
JMLR 2018