Nicolas Durrande

10 papers · 2018–2022 · 5 conferences · across top CS/AI conferences

Achievements

🌉 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

James Hensman (5) Vincent ADAM (2) Stefanos Eleftheriadis (2) Fergus Simpson (2) Vincent Dutordoir (2) Léonard Torossian (1) Carl Edward Rasmussen (1) Henry Moss (1) Lucas Bordeaux (1) Mark van der Wilk (1)

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