Florence Regol
9 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (5)
π
Interdisciplinary Bridge
π
Cross-Pollinator
(13)
π₯
Unstoppable
(6)
Conferences
ICML (3)
AAAI (2)
AISTATS (2)
ICLR (1)
UAI (1)
Top co-authors
Keywords
graph neural network
(3)
node classification
(3)
categorical datum
(2)
generative model
(2)
bayesian graph neural network
(2)
bayesian inference
(1)
graph learning
(1)
weakly supervised learning
(1)
model evaluation
(1)
graph structure
(1)
multiple instance learning
(1)
two-sample test
(1)
posterior inference
(1)
query selection
(1)
adversarial attack
(1)
gaussian mixture model
(1)
diffusion model
(1)
non-parametric model
(1)
synthetic datum
(1)
end-to-end learning
(1)
Papers
When to retrain a machine learning model
ICML 2025
Interacting Diffusion Processes for Event Sequence Forecasting
ICML 2024
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening
AISTATS 2024
Jointly-Learned Exit and Inference for a Dynamic Neural Network
ICLR 2024
Diffusing Gaussian Mixtures for Generating Categorical Data
AAAI 2023
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks
AAAI 2022
Detection and Defense of Topological Adversarial Attacks on Graphs
AISTATS 2021
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
ICML 2020
Non Parametric Graph Learning for Bayesian Graph Neural Networks
UAI 2020