Florence Regol

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Multiple Instance

Diffusion Process

Generative Model

Top Venues

Publications

Florence Regol, Joud Chataoui, Mark Coates
Jointly-Learned Exit and Inference for a Dynamic Neural Network. ICLR (2024)
Florence Regol, Mark Coates
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. AISTATS (2024)
Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE. CoRR (2024)
Florence Regol, Anja Kroon, Mark Coates
Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. ICASSP (2023)
Mai Zeng, Florence Regol, Mark Coates
Interacting Diffusion Processes for Event Sequence Forecasting. CoRR (2023)
Florence Regol, Mark Coates
Diffusing Gaussian Mixtures for Generating Categorical Data. AAAI (2023)
Florence Regol, Mark Coates
Diffusing Gaussian Mixtures for Generating Categorical Data. CoRR (2023)
Florence Regol, Joud Chataoui, Mark Coates
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN. CoRR (2023)
Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
Contrastive Learning for Time Series on Dynamic Graphs. CoRR (2022)
Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
Node Copying: A Random Graph Model for Effective Graph Sampling. CoRR (2022)
Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
Contrastive Learning for Time Series on Dynamic Graphs. EUSIPCO (2022)
Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks. CoRR (2022)
Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. AAAI (2022)
Florence Regol, Anja Kroon, Mark J. Coates
Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. CoRR (2022)
Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
Node copying: A random graph model for effective graph sampling. Signal Process. 192 (2022)
Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS (2021)
Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD (2020)
Florence Regol, Soumyasundar Pal, Mark Coates
Node Copying for Protection Against Graph Neural Network Topology Attacks. CoRR (2020)
Antonios Valkanas, Florence Regol, Mark Coates
Learning from Networks of Distributions. ACSSC (2020)
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI (2020)
Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. CoRR (2020)
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR (2020)
Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. ICML (2020)
Soumyasundar Pal, Florence Regol, Mark J. Coates
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning. CoRR (2019)
Soumyasundar Pal, Florence Regol, Mark Coates
Bayesian Graph Convolutional Neural Networks using Node Copying. CoRR (2019)
Florence Regol, Soumyasundar Pal, Mark Coates
Node Copying for Protection Against Graph Neural Network Topology Attacks. CAMSAP (2019)