Alexandra Brintrup
5 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(13)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
ensemble method
(2)
uncertainty quantification
(2)
bayesian neural network
(2)
machine unlearning
(1)
topological data analysis
(1)
model uncertainty
(1)
gaussian process
(1)
fisher information
(1)
prior knowledge
(1)
kernel combination
(1)
posterior approximation
(1)
persistent homology
(1)
prediction interval
(1)
non-iid data
(1)
neural network ensemble
(1)
local differential privacy
(1)
distribution-free method
(1)
periodic kernel
(1)
kernel methods
(1)
privacy regulation
(1)
Papers
Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy
AAAI 2026
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening
AAAI 2024
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
AISTATS 2020
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
UAI 2019
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
ICML 2018