Javier Antoran
10 papers · 2020–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🗺️ Taxonomy Completionist (20) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (13)
🤝
Dynamic Duo
(10)
🔥
Unstoppable
(5)
💎
Century Club
(10)
Conferences
NIPS (5)
ICLR (3)
ICML (2)
Top co-authors
Keywords
gaussian process
(2)
bayesian deep learning
(2)
model uncertainty
(2)
uncertainty quantification
(2)
data augmentation
(1)
posterior sampling
(1)
group theory
(1)
marginal likelihood
(1)
laplace approximation
(1)
importance sampling
(1)
probabilistic reasoning
(1)
conjugate gradient
(1)
bayesian optimization
(1)
posterior approximation
(1)
model evidence
(1)
generative model
(1)
normalizing flow
(1)
generalization capability
(1)
molecular dynamics
(1)
uncertainty estimation
(1)
Papers
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
NIPS 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
A Generative Model of Symmetry Transformations
NIPS 2024
Sampling-based inference for large linear models, with application to linearised Laplace
ICLR 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
NIPS 2023
SE(3) Equivariant Augmented Coupling Flows
NIPS 2023
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
ICML 2022
Getting a CLUE: A Method for Explaining Uncertainty Estimates
ICLR 2021
Bayesian Deep Learning via Subnetwork Inference
ICML 2021
Depth Uncertainty in Neural Networks
NIPS 2020