Florence Regol
9 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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Unstoppable · Bronze
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Keyword Collector
(55)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core Methods
(4)
Application Areas
(3)
Models
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic
(2)
Core AI
(2)
Reinforcement Learning
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
graph neural network
(3)
node classification
(3)
bayesian graph neural network
(2)
generative model
(2)
categorical data
(2)
graph learning
(1)
bayesian inference
(1)
semi-supervised learning
(1)
neural network optimization
(1)
graph structure
(1)
multiple instance learning
(1)
nonparametric model
(1)
two-sample test
(1)
posterior inference
(1)
bayesian learning
(1)
joint probability distribution
(1)
distribution shift
(1)
model evaluation
(1)
adversarial attack
(1)
query selection
(1)
Papers
When to retrain a machine learning model
ICML 2025
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening
AISTATS 2024
Interacting Diffusion Processes for Event Sequence Forecasting
ICML 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