Florence Regol

31 papers A* 7A 3Misc 2Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	When to retrain a machine learning model. ICML Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich
2025	J	`jnl`	When to retrain a machine learning model. CoRR Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich
2024	J	`jnl`	Benchmarking Edge Regression on Temporal Networks. J. Data-centric Mach. Learn. Res. Muberra Ozmen, Florence Regol, Thomas Markovich
2024	A	`conf`	Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. AISTATS Florence Regol, Mark Coates
2024	J	`jnl`	Dynamic layer selection in decoder-only transformers. CoRR Theodore Glavas, Joud Chataoui, Florence Regol, Wassim Jabbour, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2024	A*	`conf`	Interacting Diffusion Processes for Event Sequence Forecasting. ICML Mai Zeng, Florence Regol, Mark Coates
2024	A*	`conf`	Jointly-Learned Exit and Inference for a Dynamic Neural Network. ICLR Florence Regol, Joud Chataoui, Mark Coates
2024	J	`jnl`	Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE. CoRR Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann
2023	A*	`conf`	Diffusing Gaussian Mixtures for Generating Categorical Data. AAAI Florence Regol, Mark Coates
2023	J	`jnl`	Diffusing Gaussian Mixtures for Generating Categorical Data. CoRR Florence Regol, Mark Coates
2023	Misc	`conf`	Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. ICASSP Florence Regol, Anja Kroon, Mark Coates
2023	J	`jnl`	Interacting Diffusion Processes for Event Sequence Forecasting. CoRR Mai Zeng, Florence Regol, Mark Coates
2023	J	`jnl`	Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN. CoRR Florence Regol, Joud Chataoui, Mark Coates
2022	A*	`conf`	Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. AAAI Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022	J	`jnl`	Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks. CoRR Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022	—	`conf`	Contrastive Learning for Time Series on Dynamic Graphs. EUSIPCO Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
2022	J	`jnl`	Contrastive Learning for Time Series on Dynamic Graphs. CoRR Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
2022	J	`jnl`	Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. CoRR Florence Regol, Anja Kroon, Mark J. Coates
2022	J	`jnl`	Node Copying: A Random Graph Model for Effective Graph Sampling. CoRR Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
2022	J	`jnl`	Node copying: A random graph model for effective graph sampling. Signal Process. Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
2021	A	`conf`	Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
2020	A*	`conf`	A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020	A*	`conf`	Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. ICML Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2020	J	`jnl`	Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. CoRR Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2020	Misc	`conf`	Learning from Networks of Distributions. ACSSC Antonios Valkanas, Florence Regol, Mark Coates
2020	J	`jnl`	Node Copying for Protection Against Graph Neural Network Topology Attacks. CoRR Florence Regol, Soumyasundar Pal, Mark Coates
2020	A	`conf`	Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
2020	J	`jnl`	Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
2019	J	`jnl`	Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning. CoRR Soumyasundar Pal, Florence Regol, Mark J. Coates
2019	J	`jnl`	Bayesian Graph Convolutional Neural Networks using Node Copying. CoRR Soumyasundar Pal, Florence Regol, Mark Coates
2019	—	`conf`	Node Copying for Protection Against Graph Neural Network Topology Attacks. CAMSAP Florence Regol, Soumyasundar Pal, Mark Coates