Joost van Amersfoort
5 papers · 2019–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(14)
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Hot Topic Early Bird
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Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
uncertainty quantification
(3)
out-of-distribution detection
(2)
bayesian active learning
(2)
epistemic uncertainty
(1)
network pruning
(1)
deep learning
(1)
mutual information
(1)
feature space
(1)
sparse model
(1)
greedy algorithm
(1)
treatment effect
(1)
aleatoric uncertainty
(1)
observational data
(1)
deep ensemble
(1)
personalized treatment
(1)
gradient penalty
(1)
deterministic uncertainty quantification
(1)
rbf network
(1)
vision classification
(1)
deterministic neural network
(1)
Papers
Deep Deterministic Uncertainty: A New Simple Baseline
CVPR 2023
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
ICLR 2022
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
NeurIPS 2021
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
ICML 2020
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
NeurIPS 2019