Mark Coates

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 114

Top Venues

Publications

Florence Regol, Joud Chataoui, Mark Coates
Jointly-Learned Exit and Inference for a Dynamic Neural Network. ICLR (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR (2024)
Florence Regol, Mark Coates
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. AISTATS (2024)
Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates
DyG2Vec: Efficient Representation Learning for Dynamic Graphs. Trans. Mach. Learn. Res. 2024 (2024)
Pavel Rumiantsev, Mark Coates
Graph Knowledge Distillation to Mixture of Experts. CoRR (2024)
Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates
Personalized Negative Reservoir for Incremental Learning in Recommender Systems. CoRR (2024)
Antonios Valkanas, Boris N. Oreshkin, Mark Coates
MODL: Multilearner Online Deep Learning. CoRR (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)
Soumyasundar Pal, Antonios Valkanas, Mark Coates
Population Monte Carlo With Normalizing Flow. IEEE Signal Process. Lett. 31 (2024)
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS (2024)
Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
CKGConv: General Graph Convolution with Continuous Kernels. CoRR (2024)
Pavel Rumiantsev, Mark Coates
Performing Neural Architecture Search Without Gradients. ICASSP (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. CoRR (2023)
Florence Regol, Anja Kroon, Mark Coates
Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. ICASSP (2023)
Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
Bidirectional Learning for Offline Model-based Biological Sequence Design. CoRR (2023)
Muberra Ozmen, Joseph Cotnareanu, Mark Coates
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification. CoRR (2023)
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR (2023)
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE (2023)
Mai Zeng, Florence Regol, Mark Coates
Interacting Diffusion Processes for Event Sequence Forecasting. CoRR (2023)
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI (2023)
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. CoRR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. ICML (2023)
Muberra Ozmen, Joseph Cotnareanu, Mark Coates
Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification. CoLLAs (2023)
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
Spectral Augmentations for Graph Contrastive Learning. AISTATS (2023)
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
Spectral Augmentations for Graph Contrastive Learning. CoRR (2023)
Florence Regol, Mark Coates
Diffusing Gaussian Mixtures for Generating Categorical Data. AAAI (2023)
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. CoRR (2023)
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI (2023)
Florence Regol, Mark Coates
Diffusing Gaussian Mixtures for Generating Categorical Data. CoRR (2023)
Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte
Neural Graph Generation from Graph Statistics. NeurIPS (2023)
Florence Regol, Joud Chataoui, Mark Coates
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN. CoRR (2023)
Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
Bidirectional Learning for Offline Model-based Biological Sequence Design. ICML (2023)
Can Chen, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates
Bidirectional Learning for Offline Infinite-width Model-based Optimization. CoRR (2022)
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM (2022)
Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
Contrastive Learning for Time Series on Dynamic Graphs. CoRR (2022)
Yitian Zhang, Huihui Wu, Mark Coates
On the Design of Channel Coding Autoencoders With Arbitrary Rates for ISI Channels. IEEE Wirel. Commun. Lett. 11 (2) (2022)
Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates
Multi-Relation Message Passing for Multi-Label Text Classification. ICASSP (2022)
Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates
Bidirectional Learning for Offline Infinite-width Model-based Optimization. NeurIPS (2022)
Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates
Multi-relation Message Passing for Multi-label Text Classification. CoRR (2022)
Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev
Spectral image clustering on dual-energy CT scans using functional regression mixtures. CoRR (2022)
Antonios Valkanas, André-Walter Panzini, Mark Coates
Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks. IEEECONF (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)
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR (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)
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. 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)
Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates
DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision. CoRR (2022)
Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. AAAI (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI (2021)
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. CoRR (2021)
Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR (2021)
Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR (2021)
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR (2021)
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR (2021)
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR (2021)
Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. CIKM (2021)
Yuening Wang, Yingxue Zhang, Mark Coates
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. CIKM (2021)
Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Trans. Signal Process. 69 (2021)
Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS (2021)
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD (2021)
Huihui Wu, Yitian Zhang, Xueqing Zhao, Ningbo Zhu, Mark Coates
End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels. GLOBECOM (Workshops) (2020)
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)
Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR (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)
Fatemeh Teimury, Bruno Roy, Juan Sebastián Casallas, David MacDonald, Mark Coates
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping. CoRR (2020)
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI (2020)
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-Graph Convolution Collaborative Filtering. CoRR (2020)
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD (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)
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM (2020)
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR (2020)
Yingxu Wang, Svetlana N. Yanushkevich, Ming Hou, Konstantinos N. Plataniotis, Mark Coates, Marina L. Gavrilova, Yaoping Hu, Fakhri Karray, Henry Leung, Arash Mohammadi, Sam Kwong, Edward W. Tunstel, Ljiljana Trajkovic, Imre J. Rudas, Janusz Kacprzyk
A Tripartite Theory of Trustworthiness for Autonomous Systems. SMC (2020)
Soumyasundar Pal, Florence Regol, Mark Coates
Bayesian Graph Convolutional Neural Networks using Node Copying. CoRR (2019)
Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. CoRR (2019)
Soumyasundar Pal, Mark Coates
Scalable MCMC in Degree Corrected Stochastic Block Model. ICASSP (2019)
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. AAAI (2019)
Lena Kranold, Collin Quintyne, Mark Coates, Milica Popovic
Microwave Radar for Breast Screening: Initial Clinical Data with Suspicious-Lesion Patients. EMBC (2019)
Juliette Valenchon, Mark Coates
Multiple-graph Recurrent Graph Convolutional Neural Network Architectures for Predicting Disease Outcomes. ICASSP (2019)
Soumyasundar Pal, Mark Coates
Particle Flow Particle Filter using Gromov's method. CAMSAP (2019)
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR (2019)
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
Multi-graph Convolution Collaborative Filtering. ICDM (2019)
Florence Regol, Soumyasundar Pal, Mark Coates
Node Copying for Protection Against Graph Neural Network Topology Attacks. CAMSAP (2019)
Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
Cost Adaptation for Robust Decentralized Swarm Behaviour. IROS (2018)
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
Bayesian graph convolutional neural networks for semi-supervised classification. CoRR (2018)
Soumyasundar Pal, Mark Coates
Sequential MCMC With The Discrete Bouncy Particle Sampler. SSP (2018)
Soumyasundar Pal, Mark Coates
Particle Flow Particle Filter for Gaussian Mixture Noise Models. ICASSP (2018)
Yunpeng Li, Emily Porter, Adam Santorelli, Milica Popovic, Mark Coates
Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation. Biomed. Signal Process. Control. 31 (2017)
Soumyasundar Pal, Mark Coates
Gaussian sum particle flow filter. CAMSAP (2017)
Milad Kharratzadeh, Mark Coates
Semi-parametric order-based generalized multivariate regression. J. Multivar. Anal. 156 (2017)
Yunpeng Li, Mark Coates
Sequential MCMC with invertible particle flow. ICASSP (2017)
Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
Cost Adaptation for Robust Decentralized Swarm Behaviour. CoRR (2017)
Shohreh Shaghaghian, Mark Coates
Online Bayesian Inference of Diffusion Networks. IEEE Trans. Signal Inf. Process. over Networks 3 (3) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mark Coates