Mark Coates

According to our database, Mark Coates authored at least 185 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Motion In-Betweening via Deep $\Delta$Δ-Interpolator.

Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates

IEEE Trans. Vis. Comput. Graph., August, 2024

DyG2Vec: Efficient Representation Learning for Dynamic Graphs.

Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

Trans. Mach. Learn. Res., 2024

Population Monte Carlo With Normalizing Flow.

Soumyasundar Pal, Antonios Valkanas, Mark Coates

IEEE Signal Process. Lett., 2024

Differentially private and decentralized randomized power method.

Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates

CoRR, 2024

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation.

Yuening Wang, Chen Ma, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates

CoRR, 2024

Dynamic layer selection in decoder-only transformers.

Theodore Glavas, Joud Chataoui, Florence Regol, Wassim Jabbour, Antonios Valkanas, Boris N. Oreshkin, Mark Coates

CoRR, 2024

Sparse Decomposition of Graph Neural Networks.

Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates

CoRR, 2024

HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation.

Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates

CoRR, 2024

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data.

Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao

CoRR, 2024

Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE.

Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann

CoRR, 2024

Graph Knowledge Distillation to Mixture of Experts.

Pavel Rumiantsev, Mark Coates

CoRR, 2024

MODL: Multilearner Online Deep Learning.

Antonios Valkanas, Boris N. Oreshkin, Mark Coates

CoRR, 2024

Personalized Negative Reservoir for Incremental Learning in Recommender Systems.

Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates

CoRR, 2024

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection.

Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Interacting Diffusion Processes for Event Sequence Forecasting.

Mai Zeng, Florence Regol, Mark Coates

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CKGConv: General Graph Convolution with Continuous Kernels.

Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Jointly-Learned Exit and Inference for a Dynamic Neural Network.

Florence Regol, Joud Chataoui, Mark Coates

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation.

Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-resolution Time-Series Transformer for Long-term Forecasting.

Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Categorical Generative Model Evaluation via Synthetic Distribution Coarsening.

Florence Regol, Mark Coates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN.

Florence Regol, Joud Chataoui, Mark Coates

CoRR, 2023

Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification.

Muberra Ozmen, Joseph Cotnareanu, Mark Coates

CoRR, 2023

Neural Graph Generation from Graph Statistics.

Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Inductive Biases in Transformers without Message Passing.

Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim

Proceedings of the International Conference on Machine Learning, 2023

Bidirectional Learning for Offline Model-based Biological Sequence Design.

Can Chen, Yingxue Zhang, Xue Liu, Mark Coates

Proceedings of the International Conference on Machine Learning, 2023

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.

Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Performing Neural Architecture Search Without Gradients.

Pavel Rumiantsev, Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2023

Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data.

Florence Regol, Anja Kroon, Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2023

Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification.

Muberra Ozmen, Joseph Cotnareanu, Mark Coates

Proceedings of the Conference on Lifelong Learning Agents, 2023

Spectral Augmentations for Graph Contrastive Learning.

Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.

Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Diffusing Gaussian Mixtures for Generating Categorical Data.

Florence Regol, Mark Coates

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network.

Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Design of Channel Coding Autoencoders With Arbitrary Rates for ISI Channels.

Yitian Zhang, Huihui Wu, Mark Coates

IEEE Wirel. Commun. Lett., 2022

Node copying: A random graph model for effective graph sampling.

Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates

Signal Process., 2022

DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision.

Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

CoRR, 2022

Spectral image clustering on dual-energy CT scans using functional regression mixtures.

Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev

CoRR, 2022

Motion Inbetweening via Deep Δ-Interpolator.

Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates

CoRR, 2022

Bidirectional Learning for Offline Infinite-width Model-based Optimization.

Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Relation Message Passing for Multi-Label Text Classification.

Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2022

Contrastive Learning for Time Series on Dynamic Graphs.

Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates

Proceedings of the 30th European Signal Processing Conference, 2022

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation.

Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks.

Antonios Valkanas, André-Walter Panzini, Mark Coates

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks.

Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization.

Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates

IEEE Trans. Signal Process., 2021

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion.

Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting.

Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates

Proceedings of the 38th International Conference on Machine Learning, 2021

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction.

Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems.

Yuening Wang, Yingxue Zhang, Mark Coates

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems.

Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Detection and Defense of Topological Adversarial Attacks on Graphs.

Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting.

Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball.

Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping.

Fatemeh Teimury, Bruno Roy, Juan Sebastián Casallas, David MacDonald, Mark Coates

CoRR, 2020

Non Parametric Graph Learning for Bayesian Graph Neural Networks.

Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

A Tripartite Theory of Trustworthiness for Autonomous Systems.

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

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Neighbor Interaction Aware Graph Convolution Networks for Recommendation.

Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.

Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.

Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation.

Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates

Proceedings of the 37th International Conference on Machine Learning, 2020

End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels.

Huihui Wu, Yitian Zhang, Xueqing Zhao, Ningbo Zhu, Mark Coates

Proceedings of the IEEE Globecom Workshops, 2020

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.

Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning from Networks of Distributions.

Antonios Valkanas, Florence Regol, Mark Coates

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Memory Augmented Graph Neural Networks for Sequential Recommendation.

Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Invertible Particle-Flow-Based Sequential MCMC With Extension to Gaussian Mixture Noise Models.

Yunpeng Li, Soumyasundar Pal, Mark J. Coates

IEEE Trans. Signal Process., 2019

Graph-Based Compression for Distributed Particle Filters.

Jun Ye Yu, Mark J. Coates, Michael G. Rabbat

IEEE Trans. Signal Inf. Process. over Networks, 2019

Bayesian Graph Convolutional Neural Networks using Node Copying.

Soumyasundar Pal, Florence Regol, Mark Coates

CoRR, 2019

Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning.

Soumyasundar Pal, Florence Regol, Mark J. Coates

CoRR, 2019

Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization.

Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates

CoRR, 2019

Multi-graph Convolution Collaborative Filtering.

Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multiple-graph Recurrent Graph Convolutional Neural Network Architectures for Predicting Disease Outcomes.

Juliette Valenchon, Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2019

Scalable MCMC in Degree Corrected Stochastic Block Model.

Soumyasundar Pal, Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2019

Microwave Radar for Breast Screening: Initial Clinical Data with Suspicious-Lesion Patients.

Lena Kranold, Collin Quintyne, Mark Coates, Milica Popovic

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Node Copying for Protection Against Graph Neural Network Topology Attacks.

Florence Regol, Soumyasundar Pal, Mark Coates

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Particle Flow Particle Filter using Gromov's method.

Soumyasundar Pal, Mark Coates

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification.

Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sequential MCMC With The Discrete Bouncy Particle Sampler.

Soumyasundar Pal, Mark Coates

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Cost Adaptation for Robust Decentralized Swarm Behaviour.

Peter Henderson, Matthew Vertescher, David Meger, Mark Coates

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Particle Flow Particle Filter for Gaussian Mixture Noise Models.

Soumyasundar Pal, Mark Coates

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

A Multisensor Multi-Bernoulli Filter.

Augustin-Alexandru Saucan, Mark J. Coates, Michael G. Rabbat

IEEE Trans. Signal Process., 2017

Particle Filtering With Invertible Particle Flow.

Yunpeng Li, Mark Coates

IEEE Trans. Signal Process., 2017

Online Bayesian Inference of Diffusion Networks.

Shohreh Shaghaghian, Mark Coates

IEEE Trans. Signal Inf. Process. over Networks, 2017

Semi-parametric order-based generalized multivariate regression.

Milad Kharratzadeh, Mark Coates

J. Multivar. Anal., 2017

Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation.

Yunpeng Li, Emily Porter, Adam Santorelli, Milica Popovic, Mark Coates

Biomed. Signal Process. Control., 2017

Particle flow SMC delta-GLMB filter.

Augustin-Alexandru Saucan, Yunpeng Li, Mark Coates

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sequential MCMC with invertible particle flow.

Yunpeng Li, Mark Coates

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Algorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter.

Jun Ye Yu, Augustin-Alexandru Saucan, Mark Coates, Michael G. Rabbat

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Gaussian sum particle flow filter.

Soumyasundar Pal, Mark Coates

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

An Early Clinical Study of Time-Domain Microwave Radar for Breast Health Monitoring.

Emily Porter, Mark Coates, Milica Popovic

IEEE Trans. Biomed. Eng., 2016

Multisensor CPHD filter.

Santosh Nannuru, Stéphane Blouin, Mark Coates, Michael G. Rabbat

IEEE Trans. Aerosp. Electron. Syst., 2016

A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces.

Jun Ye Yu, Mark J. Coates, Michael G. Rabbat, Stéphane Blouin

IEEE Signal Process. Lett., 2016

Bayesian inference of diffusion networks with unknown infection times.

Shohreh Shaghaghian, Mark Coates

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Order-based generalized multivariate regression.

Milad Kharratzadeh, Mark Coates

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Sparse multivariate factor regression.

Milad Kharratzadeh, Mark Coates

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Distributed multi-sensor CPHD filter using pairwise gossiping.

Jun Ye Yu, Mark Coates, Michael G. Rabbat

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Particle flow for particle filtering.

Yunpeng Li, Lingling Zhao, Mark Coates

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast particle flow particle filters via clustering.

Yunpeng Li, Mark Coates

Proceedings of the 19th International Conference on Information Fusion, 2016

Graph Laplacian distributed particle filtering.

Michael G. Rabbat, Mark Coates, Stéphane Blouin

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Optimal Forwarding in Opportunistic Delay Tolerant Networks With Meeting Rate Estimations.

Shohreh Shaghaghian, Mark Coates

IEEE Trans. Signal Inf. Process. over Networks, 2015

Error Propagation in Gossip-Based Distributed Particle Filters.

Syamantak Datta Gupta, Mark Coates, Michael G. Rabbat

IEEE Trans. Signal Inf. Process. over Networks, 2015

Hybrid multi-Bernoulli and CPHD filters for superpositional sensors.

Santosh Nannuru, Mark Coates

IEEE Trans. Aerosp. Electron. Syst., 2015

Bayesian topic model approaches to online and time-dependent clustering.

Milad Kharratzadeh, Benjamin Renard, Mark J. Coates

Digit. Signal Process., 2015

Online time-dependent clustering using probabilistic topic models.

Benjamin Renard, Milad Kharratzadeh, Mark Coates

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

General solution and approximate implementation of the multisensor multitarget CPHD filter.

Santosh Nannuru, Mark Coates, Michael G. Rabbat, Stéphane Blouin

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Cost-sensitive ensemble classifiers for microwave breast cancer detection.

Yunpeng Li, Adam Santorelli, Olivier Laforest, Mark Coates

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Comparison of angle-only filtering algorithms in 3D using EKF, UKF, PF, PFF, and ensemble KF.

Syamantak Datta Gupta, Jun Ye Yu, Mahendra Mallick, Mark Coates, Mark R. Morelande

Proceedings of the 18th International Conference on Information Fusion, 2015

Performance investigation on constraint sufficient statistics distributed particle filter.

Jun Ye Yu, Michael G. Rabbat, Mark Coates, Stéphane Blouin

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

Particle flow auxiliary particle filter.

Yunpeng Li, Lingling Zhao, Mark Coates

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Opportunistic networks: Minimizing expected latency.

Shohreh Shaghaghian, Mark Coates

Proceedings of the IEEE 10th International Conference on Wireless and Mobile Computing, 2014

Distributed ensemble Kalman filtering.

Arslan Shahid, Deniz Üstebay, Mark Coates

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

2013

Radio-Frequency Tomography for Passive Indoor Multitarget Tracking.

Santosh Nannuru, Yunpeng Li, Yan Zeng, Mark Coates, Bo Yang

IEEE Trans. Mob. Comput., 2013

Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection.

Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates

IEEE Trans. Biomed. Eng., 2013

Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors.

Santosh Nannuru, Mark Coates, Ronald P. S. Mahler

IEEE J. Sel. Top. Signal Process., 2013

Content Distribution Strategies in Opportunistic Networks.

Syed Haani Masood, Syed Ali Raza, Mark Coates

CoRR, 2013

Contact graph based routing in opportunistic networks.

Divya Alok Sharma, Mark Coates

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Multi-Bernoulli filter for superpositional sensors.

Santosh Nannuru, Mark Coates

Proceedings of the 16th International Conference on Information Fusion, 2013

Particle filter implementation of the multi-Bernoulli filter for superpositional sensors.

Santosh Nannuru, Mark Coates

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Distributed underwater acoustic source localization and tracking.

Jun Ye Yu, Deniz Üstebay, Stéphane Blouin, Michael G. Rabbat, Mark Coates

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

GANC: Greedy agglomerative normalized cut for graph clustering.

Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat

Pattern Recognit., 2012

Implementation of the Daum-Huang exact-flow particle filter.

Tao Ding, Mark J. Coates

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Weblog Analysis for Predicting Correlations in Stock Price Evolutions.

Milad Kharratzadeh, Mark Coates

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Recent progress in ultra-wideband microwave breast cancer detection.

Simone Angela Winkler, Emily Porter, Adam Santorelli, Mark Coates, Milica Popovic

Proceedings of the IEEE International Conference on Ultra-Wideband, 2012

An energy-efficiency assessment of Content Centric Networking (CCN).

Muhammad Rizwan Butt, Oscar Delgado, Mark Coates

Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2011

Efficient Delay-Tolerant Particle Filtering.

Boris N. Oreshkin, Xuan Liu, M. J. Coates

IEEE Trans. Signal Process., 2011

Introduction to the Issue on Gossiping Algorithms Design and Applications.

Anna Scaglione, Mark Coates, Michael Gastpar, John N. Tsitsiklis, Martin Vetterli

IEEE J. Sel. Top. Signal Process., 2011

Cross-Layer Monitoring in Transparent Optical Networks.

Yvan Pointurier, Mark Coates, Michael G. Rabbat

JOCN, 2011

GANC: Greedy Agglomerative Normalized Cut

Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat

CoRR, 2011

Large scale probabilistic available bandwidth estimation.

Frederic Thouin, Mark Coates, Michael G. Rabbat

Comput. Networks, 2011

Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection.

Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements.

Xi Chen, Andrea Edelstein, Yunpeng Li, Mark Coates, Michael G. Rabbat, Aidong Men

Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Distributed auxiliary particle filters using selective gossip.

Deniz Üstebay, Mark Coates, Michael G. Rabbat

Proceedings of the IEEE International Conference on Acoustics, 2011

Sequential Monte Carlo Radio-Frequency tomographic tracking.

Yunpeng Li, Xi Chen, Mark Coates, Bo Yang

Proceedings of the IEEE International Conference on Acoustics, 2011

Multi-target tracking for measurement models with additive contributions.

Frederic Thouin, Santosh Nannuru, Mark Coates

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

Greedy gossip with eavesdropping.

Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat

IEEE Trans. Signal Process., 2010

Optimization and analysis of distributed averaging with short node memory.

Boris N. Oreshkin, Mark Coates, Michael G. Rabbat

IEEE Trans. Signal Process., 2010

Real-Time Multi-path Tracking of Probabilistic Available Bandwidth

Frederic Thouin, Mark Coates, Michael G. Rabbat

CoRR, 2010

Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning

Frederic Thouin, Mark Coates, Michael G. Rabbat

CoRR, 2010

Asynchronous distributed particle filter via decentralized evaluation of Gaussian products.

Boris N. Oreshkin, M. J. Coates

Proceedings of the 13th Conference on Information Fusion, 2010

Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements.

Xuan Liu, Boris N. Oreshkin, M. J. Coates

Proceedings of the 13th Conference on Information Fusion, 2010

2009

Accelerated Distributed Average Consensus via Localized Node State Prediction.

Tuncer C. Aysal, Boris N. Oreshkin, M. J. Coates

IEEE Trans. Signal Process., 2009

Scheduling in overlaid star all-photonic networks with large propagation delays.

Nahid Saberi, Mark Coates

Photonic Netw. Commun., 2009

Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification.

Daniel Nechay, Yvan Pointurier, Mark Coates

Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

The speed of greed: Characterizing myopic gossip through network voracity.

Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat

Proceedings of the IEEE International Conference on Acoustics, 2009

Multi-hop Greedy Gossip with Eavesdropping.

Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat

Proceedings of the 12th International Conference on Information Fusion, 2009

Optimization and analysis of distributed averaging with memory.

Boris N. Oreshkin, Mark J. Coates, Michael G. Rabbat

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Distributed Average Consensus With Dithered Quantization.

Tuncer C. Aysal, Mark Coates, Michael G. Rabbat

IEEE Trans. Signal Process., 2008

Equipment allocation in video-on-demand network deployments.

Frederic Thouin, Mark Coates

ACM Trans. Multim. Comput. Commun. Appl., 2008

Greedy gossip with eavesdropping.

Deniz Üstebay, Mark Coates, Michael G. Rabbat

Proceedings of the Third International Symposium on Wireless Pervasive Computing, 2008

Learning to satisfy.

Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton D. Scott

Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed average consensus with increased convergence rate.

Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2008

Weak sense Lp error bounds for leader-node distributed particle filters.

Boris N. Oreshkin, Mark Coates

Proceedings of the 11th International Conference on Information Fusion, 2008

Rates of convergence for greedy gossip with eavesdropping.

Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007

Video-on-Demand Networks: Design Approaches and Future Challenges.

Frederic Thouin, Mark Coates

IEEE Netw., 2007

Video-on-Demand Server Selection and Placement.

Frederic Thouin, Mark Coates

Proceedings of the Managing Traffic Performance in Converged Networks, 2007

Feedback Control System for Scheduling of Wide-Area All-Photonic Networks.

Nahid Saberi, Mark Coates

Proceedings of the 12th IEEE Symposium on Computers and Communications (ISCC 2007), 2007

Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares.

Tarem Ahmed, Mark Coates, Anukool Lakhina

Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Compressed network monitoring for ip and all-optical networks.

Mark Coates, Yvan Pointurier, Michael G. Rabbat

Proceedings of the 7th ACM SIGCOMM Internet Measurement Conference, 2007

2006

Deterministic packet marking for time-varying congestion price estimation.

Richard W. Thommes, Mark Coates

IEEE/ACM Trans. Netw., 2006

Multiple-Source Internet Tomography.

Michael G. Rabbat, Mark Coates, Robert D. Nowak

IEEE J. Sel. Areas Commun., 2006

Fair Matching Algorithm: Fixed-Length Frame Scheduling in All-Photonic Networks.

Nahid Saberi, Mark Coates

Proceedings of the Sixth IASTED International Multi-Conference on Wireless and Optical Communications: Conference on Communication Systems and Applications, 2006

Video-on-Demand Equipment Allocation.

Frederic Thouin, Mark Coates, Dominic Goodwill

Proceedings of the Fifth IEEE International Symposium on Network Computing and Applications, 2006

Optimal Actuation Strategies for Sensor/Actuator Networks.

Frederic Thouin, Richard W. Thommes, Mark J. Coates

Proceedings of the 3rd Annual International ICST Conference on Mobile and Ubiquitous Systems: Computing, 2006

Epidemiological Modelling of Peer-to-Peer Viruses and Pollution.

Richard W. Thommes, Mark Coates

Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Minimum Rejection Scheduling in All-Photonic Networks.

Nahid Saberi, Mark Coates

Proceedings of the 3rd International Conference on Broadband Communications, 2006

2005

Evaluating causal relationships in wireless sensor/actuator networks.

Mark Coates

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Likelihood based hierarchical clustering.

Rui M. Castro, Mark Coates, Robert D. Nowak

IEEE Trans. Signal Process., 2004

Distributed particle filters for sensor networks.

Mark Coates

Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Deterministic Packet Marking for Congestion Price Estimation.

Richard W. Thommes, Mark Coates

Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Multiple Source, Multiple Destination Network Tomography.

Michael G. Rabbat, Robert D. Nowak, Mark Coates

Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Evaluating average causal effect using wireless sensor networks.

Mark Coates, Ioannis N. Psaromiligkos

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Network delay tomography.

Yolanda Tsang, Mark Coates, Robert D. Nowak

IEEE Trans. Signal Process., 2003

Merging logical topologies using end-to-end measurements.

Mark Coates, Michael G. Rabbat, Robert D. Nowak

Proceedings of the 3rd ACM SIGCOMM Internet Measurement Conference, 2003

2002

Sequential Monte Carlo inference of internal delays in nonstationary data networks.

Mark Coates, Robert D. Nowak

IEEE Trans. Signal Process., 2002

Internet tomography.

Mark Coates, Alfred O. Hero III, Robert D. Nowak, Bin Yu

IEEE Signal Process. Mag., 2002

Time-frequency-based detection in impulsive noise environments using alpha-stable noise models.

M. J. Coates, Ercan E. Kuruoglu

Signal Process., 2002

Maximum likelihood network topology identification from edge-based unicast measurements.

Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang

Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2002

Nonparametric internet tomography.

Yolanda Tsang, Mark Coates, Robert D. Nowak

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Hybrid linear/quadratic time-frequency attributes.

Richard G. Baraniuk, Mark Coates, Philippe Steeghs

IEEE Trans. Signal Process., 2001

Passive network tomography using EM algorithms.

Yolanda Tsang, Mark Coates, Robert D. Nowak

Proceedings of the IEEE International Conference on Acoustics, 2001

Network tomography for internal delay estimation.

Mark Coates, Robert D. Nowak

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Non-Redundant, Directionally Selective, Complex Wavelets.

Rutger L. van Spaendonck, Felix C. A. Fernandes, Mark Coates, C. Sidney Burrus

Proceedings of the 2000 International Conference on Image Processing, 2000

Time-frequency signal decomposition using energy mixture models.

Mark Coates, William J. Fitzgerald

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Regionally optimised time-frequency distributions using finite mixture models.

M. J. Coates, William J. Fitzgerald

Signal Process., 1999

Sequential Bayesian wavelet denoising.

Mark J. Coates, Arnaud Doucet

Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999

1998

Regionally optimised kernels for time-frequency distributions.

Mark J. Coates, Christophe G. Molina, William J. Fitzgerald

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998