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Mark Coates
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- affiliation: McGill University, Montreal, Canada
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2020 – today
- 2024
- [j44]Soumyasundar Pal
, Antonios Valkanas
, Mark Coates
:
Population Monte Carlo With Normalizing Flow. IEEE Signal Process. Lett. 31: 16-20 (2024) - [j43]Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates:
DyG2Vec: Efficient Representation Learning for Dynamic Graphs. Trans. Mach. Learn. Res. 2024 (2024) - [j42]Boris N. Oreshkin
, Antonios Valkanas
, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates
:
Motion In-Betweening via Deep $\Delta$Δ-Interpolator. IEEE Trans. Vis. Comput. Graph. 30(8): 5693-5704 (2024) - [c116]Florence Regol, Mark Coates:
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. AISTATS 2024: 910-918 - [c115]Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS 2024: 4222-4230 - [c114]Florence Regol, Joud Chataoui, Mark Coates:
Jointly-Learned Exit and Inference for a Dynamic Neural Network. ICLR 2024 - [c113]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: 6301-6311 - [i56]Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates:
Personalized Negative Reservoir for Incremental Learning in Recommender Systems. CoRR abs/2403.03993 (2024) - [i55]Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates:
CKGConv: General Graph Convolution with Continuous Kernels. CoRR abs/2404.13604 (2024) - [i54]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 abs/2405.11024 (2024) - [i53]Antonios Valkanas, Boris N. Oreshkin, Mark Coates:
MODL: Multilearner Online Deep Learning. CoRR abs/2405.18281 (2024) - [i52]Pavel Rumiantsev, Mark Coates:
Graph Knowledge Distillation to Mixture of Experts. CoRR abs/2406.11919 (2024) - [i51]Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann:
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE. CoRR abs/2406.14404 (2024) - 2023
- [c112]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: 4711-4719 - [c111]Florence Regol, Mark Coates:
Diffusing Gaussian Mixtures for Generating Categorical Data. AAAI 2023: 9570-9578 - [c110]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: 14400-14407 - [c109]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. AISTATS 2023: 11213-11266 - [c108]Muberra Ozmen, Joseph Cotnareanu, Mark Coates:
Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification. CoLLAs 2023: 909-922 - [c107]Florence Regol, Anja Kroon, Mark Coates:
Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. ICASSP 2023: 1-5 - [c106]Pavel Rumiantsev, Mark Coates:
Performing Neural Architecture Search Without Gradients. ICASSP 2023: 1-5 - [c105]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: 1112-1125 - [c104]Can Chen, Yingxue Zhang, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Model-based Biological Sequence Design. ICML 2023: 5351-5366 - [c103]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: 23321-23337 - [c102]Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte:
Neural Graph Generation from Graph Statistics. NeurIPS 2023 - [e1]Marina L. Gavrilova
, C. J. Kenneth Tan, Mark Coates, Yaoping Hu, Henry Leung, Arash Mohammadi, Konstantinos N. Plataniotis, Helder Rodrigues de Oliveira:
Transactions on Computational Science XL. Lecture Notes in Computer Science 13850, Springer 2023, ISBN 978-3-662-67867-1 [contents] - [i50]Can Chen, Yingxue Zhang, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Model-based Biological Sequence Design. CoRR abs/2301.02931 (2023) - [i49]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 abs/2301.03412 (2023) - [i48]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. CoRR abs/2302.02909 (2023) - [i47]Florence Regol, Mark Coates:
Diffusing Gaussian Mixtures for Generating Categorical Data. CoRR abs/2303.04635 (2023) - [i46]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 abs/2305.01204 (2023) - [i45]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 abs/2305.17589 (2023) - [i44]Muberra Ozmen, Joseph Cotnareanu, Mark Coates:
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification. CoRR abs/2309.13543 (2023) - [i43]Florence Regol, Joud Chataoui, Mark Coates:
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN. CoRR abs/2310.09163 (2023) - [i42]Mai Zeng, Florence Regol, Mark Coates:
Interacting Diffusion Processes for Event Sequence Forecasting. CoRR abs/2310.17800 (2023) - [i41]Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR abs/2311.04147 (2023) - 2022
- [j41]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: 108335 (2022) - [j40]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): 426-430 (2022) - [c101]Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates:
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. AAAI 2022: 7922-7930 - [c100]Antonios Valkanas, André-Walter Panzini, Mark Coates:
Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks. IEEECONF 2022: 852-856 - [c99]Haolun Wu, Chen Ma
, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM 2022: 2148-2157 - [c98]Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates:
Contrastive Learning for Time Series on Dynamic Graphs. EUSIPCO 2022: 742-746 - [c97]Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates:
Multi-Relation Message Passing for Multi-Label Text Classification. ICASSP 2022: 3583-3587 - [c96]Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates:
Bidirectional Learning for Offline Infinite-width Model-based Optimization. NeurIPS 2022 - [i40]Boris N. Oreshkin, Antonios Valkanas, Félix G. Harvey, Louis-Simon Ménard, Florent Bocquelet, Mark J. Coates:
Motion Inbetweening via Deep Δ-Interpolator. CoRR abs/2201.06701 (2022) - [i39]Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev:
Spectral image clustering on dual-energy CT scans using functional regression mixtures. CoRR abs/2201.13398 (2022) - [i38]Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates:
Multi-relation Message Passing for Multi-label Text Classification. CoRR abs/2202.04844 (2022) - [i37]Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates:
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks. CoRR abs/2202.11132 (2022) - [i36]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR abs/2208.01709 (2022) - [i35]Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates:
Node Copying: A Random Graph Model for Effective Graph Sampling. CoRR abs/2208.02435 (2022) - [i34]Can Chen, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Infinite-width Model-based Optimization. CoRR abs/2209.07507 (2022) - [i33]Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates:
Contrastive Learning for Time Series on Dynamic Graphs. CoRR abs/2209.10662 (2022) - [i32]Florence Regol, Anja Kroon, Mark J. Coates:
Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. CoRR abs/2210.16405 (2022) - [i31]Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates:
DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision. CoRR abs/2210.16906 (2022) - [i30]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 abs/2211.06370 (2022) - 2021
- [j39]Cody Mazza-Anthony
, Bogdan Mazoure, Mark Coates
:
Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Trans. Signal Process. 69: 489-499 (2021) - [c95]Chen Ma
, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI 2021: 4285-4293 - [c94]Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates:
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. AAAI 2021: 9233-9241 - [c93]Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates:
Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS 2021: 2989-2997 - [c92]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: 2832-2836 - [c91]Yuening Wang, Yingxue Zhang, Mark Coates:
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. CIKM 2021: 3518-3522 - [c90]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD 2021: 1-9 - [c89]Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates:
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML 2021: 8336-8348 - [c88]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: 428-437 - [i29]Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates:
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR abs/2101.04849 (2021) - [i28]Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR abs/2101.04852 (2021) - [i27]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 abs/2104.08419 (2021) - [i26]Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates:
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR abs/2106.06064 (2021) - [i25]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR abs/2111.05941 (2021) - 2020
- [c87]Chen Ma
, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI 2020: 5045-5052 - [c86]Antonios Valkanas, Florence Regol, Mark Coates:
Learning from Networks of Distributions. ACSSC 2020: 574-578 - [c85]Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates:
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM 2020: 2861-2868 - [c84]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: 1-6 - [c83]Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. ICML 2020: 8041-8050 - [c82]Chen Ma
, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates:
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD 2020: 1036-1044 - [c81]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: 2030-2039 - [c80]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: 1289-1298 - [c79]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: 3375-3380 - [c78]Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates:
Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI 2020: 1318-1327 - [i24]Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-Graph Convolution Collaborative Filtering. CoRR abs/2001.00267 (2020) - [i23]Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates:
Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR abs/2006.13335 (2020) - [i22]Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. CoRR abs/2007.05003 (2020) - [i21]Florence Regol, Soumyasundar Pal, Mark Coates:
Node Copying for Protection Against Graph Neural Network Topology Attacks. CoRR abs/2007.06704 (2020) - [i20]Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark J. Coates:
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. CoRR abs/2007.15531 (2020) - [i19]Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates:
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR abs/2008.13517 (2020) - [i18]Fatemeh Teimury, Bruno Roy, Juan Sebastián Casallas, David MacDonald, Mark Coates:
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping. CoRR abs/2011.13748 (2020)
2010 – 2019
- 2019
- [j38]Jun Ye Yu
, Mark J. Coates
, Michael G. Rabbat
:
Graph-Based Compression for Distributed Particle Filters. IEEE Trans. Signal Inf. Process. over Networks 5(3): 404-417 (2019) - [j37]Yunpeng Li
, Soumyasundar Pal
, Mark J. Coates
:
Invertible Particle-Flow-Based Sequential MCMC With Extension to Gaussian Mixture Noise Models. IEEE Trans. Signal Process. 67(9): 2499-2512 (2019) - [c77]Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay:
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. AAAI 2019: 5829-5836 - [c76]Soumyasundar Pal, Mark Coates:
Particle Flow Particle Filter using Gromov's method. CAMSAP 2019: 634-638 - [c75]Florence Regol, Soumyasundar Pal, Mark Coates:
Node Copying for Protection Against Graph Neural Network Topology Attacks. CAMSAP 2019: 709-713 - [c74]Lena Kranold, Collin Quintyne, Mark Coates, Milica Popovic:
Microwave Radar for Breast Screening: Initial Clinical Data with Suspicious-Lesion Patients. EMBC 2019: 3191-3194 - [c73]Juliette Valenchon, Mark Coates:
Multiple-graph Recurrent Graph Convolutional Neural Network Architectures for Predicting Disease Outcomes. ICASSP 2019: 3157-3161 - [c72]Soumyasundar Pal, Mark Coates:
Scalable MCMC in Degree Corrected Stochastic Block Model. ICASSP 2019: 5461-5465 - [c71]Jianing Sun, Yingxue Zhang, Chen Ma
, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-graph Convolution Collaborative Filtering. ICDM 2019: 1306-1311 - [i17]Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates:
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. CoRR abs/1906.02719 (2019) - [i16]Soumyasundar Pal, Florence Regol, Mark J. Coates:
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning. CoRR abs/1910.12132 (2019) - [i15]Soumyasundar Pal, Florence Regol, Mark Coates:
Bayesian Graph Convolutional Neural Networks using Node Copying. CoRR abs/1911.04965 (2019) - [i14]Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR abs/1912.11730 (2019) - 2018
- [c70]Soumyasundar Pal, Mark Coates:
Particle Flow Particle Filter for Gaussian Mixture Noise Models. ICASSP 2018: 4249-4253 - [c69]Peter Henderson, Matthew Vertescher, David Meger, Mark Coates:
Cost Adaptation for Robust Decentralized Swarm Behaviour. IROS 2018: 4099-4106 - [c68]Soumyasundar Pal, Mark Coates:
Sequential MCMC With The Discrete Bouncy Particle Sampler. SSP 2018: 663-667 - [i13]Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay:
Bayesian graph convolutional neural networks for semi-supervised classification. CoRR abs/1811.11103 (2018) - 2017
- [j36]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: 366-376 (2017) - [j35]Milad Kharratzadeh, Mark Coates:
Semi-parametric order-based generalized multivariate regression. J. Multivar. Anal. 156: 89-102 (2017) - [j34]Shohreh Shaghaghian, Mark Coates:
Online Bayesian Inference of Diffusion Networks. IEEE Trans. Signal Inf. Process. over Networks 3(3): 500-512 (2017) - [j33]Yunpeng Li
, Mark Coates:
Particle Filtering With Invertible Particle Flow. IEEE Trans. Signal Process. 65(15): 4102-4116 (2017) - [j32]Augustin-Alexandru Saucan, Mark J. Coates, Michael G. Rabbat:
A Multisensor Multi-Bernoulli Filter. IEEE Trans. Signal Process. 65(20): 5495-5509 (2017) - [c67]Soumyasundar Pal, Mark Coates:
Gaussian sum particle flow filter. CAMSAP 2017: 1-5 - [c66]Jun Ye Yu, Augustin-Alexandru Saucan, Mark Coates, Michael G. Rabbat:
Algorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter. CAMSAP 2017: 1-5 - [c65]Yunpeng Li
, Mark Coates:
Sequential MCMC with invertible particle flow. ICASSP 2017: 3844-3848 - [c64]Augustin-Alexandru Saucan, Yunpeng Li
, Mark Coates:
Particle flow SMC delta-GLMB filter. ICASSP 2017: 4381-4385 - [i12]Peter Henderson, Matthew Vertescher, David Meger, Mark Coates:
Cost Adaptation for Robust Decentralized Swarm Behaviour. CoRR abs/1709.07114 (2017) - 2016
- [j31]Jun Ye Yu, Mark J. Coates, Michael G. Rabbat, Stéphane Blouin:
A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces. IEEE Signal Process. Lett. 23(3): 326-330 (2016) - [j30]Santosh Nannuru
, Stéphane Blouin, Mark Coates, Michael G. Rabbat:
Multisensor CPHD filter. IEEE Trans. Aerosp. Electron. Syst. 52(4): 1834-1854 (2016) - [j29]Emily Porter
, Mark Coates, Milica Popovic:
An Early Clinical Study of Time-Domain Microwave Radar for Breast Health Monitoring. IEEE Trans. Biomed. Eng. 63(3): 530-539 (2016) - [c63]Michael G. Rabbat, Mark Coates, Stéphane Blouin:
Graph Laplacian distributed particle filtering. EUSIPCO 2016: 1493-1497 - [c62]Yunpeng Li, Mark Coates:
Fast particle flow particle filters via clustering. FUSION 2016: 2022-2027 - [c61]Jun Ye Yu, Mark Coates, Michael G. Rabbat:
Distributed multi-sensor CPHD filter using pairwise gossiping. ICASSP 2016: 3176-3180 - [c60]Yunpeng Li
, Lingling Zhao, Mark Coates:
Particle flow for particle filtering. ICASSP 2016: 3979-3983 - [c59]Milad Kharratzadeh, Mark Coates:
Sparse multivariate factor regression. SSP 2016: 1-5 - [c58]Milad Kharratzadeh, Mark Coates:
Order-based generalized multivariate regression. SSP 2016: 1-5 - [c57]Shohreh Shaghaghian, Mark Coates:
Bayesian inference of diffusion networks with unknown infection times. SSP 2016: 1-5 - [i11]Shohreh Shaghaghian, Mark Coates:
Bayesian Inference of Diffusion Networks with Unknown Infection Times. CoRR abs/1602.08114 (2016) - [i10]Shohreh Shaghaghian, Mark Coates:
Online Bayesian Inference of Diffusion Networks. CoRR abs/1611.01086 (2016) - 2015
- [j28]Milad Kharratzadeh, Benjamin Renard, Mark J. Coates:
Bayesian topic model approaches to online and time-dependent clustering. Digit. Signal Process. 47: 25-35 (2015) - [j27]Santosh Nannuru
, Mark Coates:
Hybrid multi-Bernoulli and CPHD filters for superpositional sensors. IEEE Trans. Aerosp. Electron. Syst. 51(4): 2847-2863 (2015) - [j26]Shohreh Shaghaghian, Mark Coates:
Optimal Forwarding in Opportunistic Delay Tolerant Networks With Meeting Rate Estimations. IEEE Trans. Signal Inf. Process. over Networks 1(2): 104-116 (2015) - [j25]Syamantak Datta Gupta, Mark Coates, Michael G. Rabbat:
Error Propagation in Gossip-Based Distributed Particle Filters. IEEE Trans. Signal Inf. Process. over Networks 1(3): 148-163 (2015) - [c56]Yunpeng Li
, Lingling Zhao, Mark Coates:
Particle flow auxiliary particle filter. CAMSAP 2015: 157-160 - [c55]Jun Ye Yu, Michael G. Rabbat, Mark Coates, Stéphane Blouin:
Performance investigation on constraint sufficient statistics distributed particle filter. CCECE 2015: 1526-1531 - [c54]Syamantak Datta Gupta, Jun Ye Yu, Mahendra Mallick, Mark Coates, Mark R. Morelande:
Comparison of angle-only filtering algorithms in 3D using EKF, UKF, PF, PFF, and ensemble KF. FUSION 2015: 1649-1656 - [c53]Yunpeng Li
, Adam Santorelli
, Olivier Laforest, Mark Coates:
Cost-sensitive ensemble classifiers for microwave breast cancer detection. ICASSP 2015: 952-956 - [c52]Benjamin Renard, Milad Kharratzadeh, Mark Coates:
Online time-dependent clustering using probabilistic topic models. ICASSP 2015: 2036-2040 - [c51]Santosh Nannuru
, Mark Coates, Michael G. Rabbat, Stéphane Blouin:
General solution and approximate implementation of the multisensor multitarget CPHD filter. ICASSP 2015: 4055-4059 - [i9]Shohreh Shaghaghian, Mark Coates:
Optimal Forwarding in Opportunistic Delay Tolerant Networks with Meeting Rate Estimations. CoRR abs/1506.04729 (2015) - 2014
- [c50]Arslan Shahid, Deniz Üstebay, Mark Coates:
Distributed ensemble Kalman filtering. SAM 2014: 217-220 - [c49]Shohreh Shaghaghian, Mark Coates:
Opportunistic networks: Minimizing expected latency. WiMob 2014: 473-478 - 2013
- [j24]Santosh Nannuru
, Mark Coates, Ronald P. S. Mahler:
Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors. IEEE J. Sel. Top. Signal Process. 7(3): 410-420 (2013) - [j23]Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates:
Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection. IEEE Trans. Biomed. Eng. 60(2): 354-360 (2013) - [j22]Santosh Nannuru
, Yunpeng Li
, Yan Zeng, Mark Coates, Bo Yang:
Radio-Frequency Tomography for Passive Indoor Multitarget Tracking. IEEE Trans. Mob. Comput. 12(12): 2322-2333 (2013) - [c48]Jun Ye Yu, Deniz Üstebay, Stéphane Blouin, Michael G. Rabbat, Mark Coates:
Distributed underwater acoustic source localization and tracking. ACSSC 2013: 634-638 - [c47]Santosh Nannuru
, Mark Coates:
Particle filter implementation of the multi-Bernoulli filter for superpositional sensors. CAMSAP 2013: 368-371 - [c46]Santosh Nannuru, Mark Coates:
Multi-Bernoulli filter for superpositional sensors. FUSION 2013: 1632-1637 - [c45]Divya Alok Sharma, Mark Coates:
Contact graph based routing in opportunistic networks. GlobalSIP 2013: 333-336 - [i8]Syed Haani Masood, Syed Ali Raza, Mark Coates:
Content Distribution Strategies in Opportunistic Networks. CoRR abs/1308.0786 (2013) - 2012
- [j21]Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat:
GANC: Greedy agglomerative normalized cut for graph clustering. Pattern Recognit. 45(2): 831-843 (2012) - [c44]Muhammad Rizwan Butt, Oscar Delgado, Mark Coates:
An energy-efficiency assessment of Content Centric Networking (CCN). CCECE 2012: 1-4 - [c43]Simone Angela Winkler
, Emily Porter
, Adam Santorelli
, Mark Coates, Milica Popovic:
Recent progress in ultra-wideband microwave breast cancer detection. ICUWB 2012: 182-186 - [c42]Milad Kharratzadeh, Mark Coates:
Weblog Analysis for Predicting Correlations in Stock Price Evolutions. ICWSM 2012 - [c41]Tao Ding, Mark J. Coates:
Implementation of the Daum-Huang exact-flow particle filter. SSP 2012: 257-260 - 2011
- [j20]Frederic Thouin, Mark Coates, Michael G. Rabbat:
Large scale probabilistic available bandwidth estimation. Comput. Networks 55(9): 2065-2078 (2011) - [j19]Yvan Pointurier, Mark Coates, Michael G. Rabbat:
Cross-Layer Monitoring in Transparent Optical Networks. JOCN 3(3): 189-198 (2011) - [j18]Anna Scaglione, Mark Coates, Michael Gastpar, John N. Tsitsiklis, Martin Vetterli
:
Introduction to the Issue on Gossiping Algorithms Design and Applications. IEEE J. Sel. Top. Signal Process. 5(4): 645-648 (2011) - [j17]Boris N. Oreshkin, Xuan Liu, M. J. Coates:
Efficient Delay-Tolerant Particle Filtering. IEEE Trans. Signal Process. 59(7): 3369-3381 (2011) - [c40]Frederic Thouin, Santosh Nannuru, Mark Coates:
Multi-target tracking for measurement models with additive contributions. FUSION 2011: 1-8 - [c39]Deniz Üstebay, Mark Coates, Michael G. Rabbat:
Distributed auxiliary particle filters using selective gossip. ICASSP 2011: 3296-3299 - [c38]Yunpeng Li
, Xi Chen, Mark Coates, Bo Yang:
Sequential Monte Carlo Radio-Frequency tomographic tracking. ICASSP 2011: 3976-3979 - [c37]Xi Chen, Andrea Edelstein, Yunpeng Li, Mark Coates, Michael G. Rabbat, Aidong Men:
Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. IPSN 2011: 342-353 - [c36]Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates:
Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection. ISBI 2011: 113-116 - [i7]Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat:
GANC: Greedy Agglomerative Normalized Cut. CoRR abs/1105.0974 (2011) - 2010
- [j16]Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Optimization and analysis of distributed averaging with short node memory. IEEE Trans. Signal Process. 58(5): 2850-2865 (2010) - [j15]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Greedy gossip with eavesdropping. IEEE Trans. Signal Process. 58(7): 3765-3776 (2010) - [c35]Xuan Liu, Boris N. Oreshkin, M. J. Coates:
Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements. FUSION 2010: 1-8 - [c34]Boris N. Oreshkin, M. J. Coates:
Asynchronous distributed particle filter via decentralized evaluation of Gaussian products. FUSION 2010: 1-8 - [i6]Frederic Thouin, Mark Coates, Michael G. Rabbat:
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning. CoRR abs/1001.1009 (2010) - [i5]Frederic Thouin, Mark Coates, Michael G. Rabbat:
Large scale probabilistic available bandwidth estimation. CoRR abs/1007.0730 (2010) - [i4]Boris N. Oreshkin, Xuan Liu, Mark Coates:
Efficient delay-tolerant particle filtering. CoRR abs/1009.4409 (2010) - [i3]Frederic Thouin, Mark Coates, Michael G. Rabbat:
Real-Time Multi-path Tracking of Probabilistic Available Bandwidth. CoRR abs/1010.1524 (2010)
2000 – 2009
- 2009
- [j14]Nahid Saberi, Mark Coates:
Scheduling in overlaid star all-photonic networks with large propagation delays. Photonic Netw. Commun. 17(2): 157-169 (2009) - [j13]Tuncer C. Aysal, Boris N. Oreshkin, M. J. Coates:
Accelerated Distributed Average Consensus via Localized Node State Prediction. IEEE Trans. Signal Process. 57(4): 1563-1576 (2009) - [c33]Boris N. Oreshkin, Mark J. Coates, Michael G. Rabbat:
Optimization and analysis of distributed averaging with memory. Allerton 2009: 347-354 - [c32]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Multi-hop Greedy Gossip with Eavesdropping. FUSION 2009: 140-145 - [c31]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
The speed of greed: Characterizing myopic gossip through network voracity. ICASSP 2009: 3665-3668 - [c30]Daniel Nechay, Yvan Pointurier, Mark Coates:
Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification. INFOCOM 2009: 684-692 - [i2]Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Optimization and Analysis of Distributed Averaging with Short Node Memory. CoRR abs/0903.3537 (2009) - [i1]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Greedy Gossip with Eavesdropping. CoRR abs/0909.1830 (2009) - 2008
- [j12]Frederic Thouin, Mark Coates:
Equipment allocation in video-on-demand network deployments. ACM Trans. Multim. Comput. Commun. Appl. 5(1): 5:1-5:22 (2008) - [j11]Tuncer C. Aysal, Mark Coates, Michael G. Rabbat:
Distributed Average Consensus With Dithered Quantization. IEEE Trans. Signal Process. 56(10-1): 4905-4918 (2008) - [c29]Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Rates of convergence for greedy gossip with eavesdropping. Allerton 2008: 367-374 - [c28]Boris N. Oreshkin, Mark Coates:
Weak sense Lp error bounds for leader-node distributed particle filters. FUSION 2008: 1-7 - [c27]Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton D. Scott:
Learning to satisfy. ICASSP 2008: 1981-1984 - [c26]Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates:
Distributed average consensus with increased convergence rate. ICASSP 2008: 2285-2288 - [c25]Deniz Üstebay, Mark Coates, Michael G. Rabbat:
Greedy gossip with eavesdropping. ISWPC 2008: 759-763 - 2007
- [j10]Frederic Thouin, Mark Coates:
Video-on-Demand Networks: Design Approaches and Future Challenges. IEEE Netw. 21(2): 42-48 (2007) - [c24]Mark Coates, Yvan Pointurier, Michael G. Rabbat:
Compressed network monitoring for ip and all-optical networks. Internet Measurement Conference 2007: 241-252 - [c23]Tarem Ahmed
, Mark Coates, Anukool Lakhina
:
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares. INFOCOM 2007: 625-633 - [c22]Nahid Saberi, Mark Coates:
Feedback Control System for Scheduling of Wide-Area All-Photonic Networks. ISCC 2007: 115-120 - [c21]Frederic Thouin, Mark Coates:
Video-on-Demand Server Selection and Placement. ITC 2007: 18-29 - 2006
- [j9]Michael G. Rabbat, Mark Coates, Robert D. Nowak:
Multiple-Source Internet Tomography. IEEE J. Sel. Areas Commun. 24(12): 2221-2234 (2006) - [j8]Richard W. Thommes, Mark Coates:
Deterministic packet marking for time-varying congestion price estimation. IEEE/ACM Trans. Netw. 14(3): 592-602 (2006) - [c20]Nahid Saberi, Mark Coates:
Minimum Rejection Scheduling in All-Photonic Networks. BROADNETS 2006 - [c19]Richard W. Thommes, Mark Coates:
Epidemiological Modelling of Peer-to-Peer Viruses and Pollution. INFOCOM 2006 - [c18]Frederic Thouin, Richard W. Thommes, Mark J. Coates:
Optimal Actuation Strategies for Sensor/Actuator Networks. MobiQuitous 2006: 1-8 - [c17]Frederic Thouin, Mark Coates, Dominic Goodwill:
Video-on-Demand Equipment Allocation. NCA 2006: 103-110 - [c16]Nahid Saberi, Mark Coates:
Fair Matching Algorithm: Fixed-Length Frame Scheduling in All-Photonic Networks. Wireless and Optical Communications 2006: 213-218 - 2005
- [c15]Mark Coates:
Evaluating causal relationships in wireless sensor/actuator networks. ICASSP (5) 2005: 937-940 - 2004
- [j7]Rui M. Castro, Mark Coates, Robert D. Nowak:
Likelihood based hierarchical clustering. IEEE Trans. Signal Process. 52(8): 2308-2321 (2004) - [c14]Mark Coates, Ioannis N. Psaromiligkos:
Evaluating average causal effect using wireless sensor networks. ICASSP (3) 2004: 905-908 - [c13]Michael G. Rabbat, Robert D. Nowak, Mark Coates:
Multiple Source, Multiple Destination Network Tomography. INFOCOM 2004: 1628-1639 - [c12]Richard W. Thommes, Mark Coates:
Deterministic Packet Marking for Congestion Price Estimation. INFOCOM 2004 - [c11]Mark Coates:
Distributed particle filters for sensor networks. IPSN 2004: 99-107 - 2003
- [j6]Yolanda Tsang, Mark Coates, Robert D. Nowak:
Network delay tomography. IEEE Trans. Signal Process. 51(8): 2125-2136 (2003) - [c10]Mark Coates, Michael G. Rabbat, Robert D. Nowak:
Merging logical topologies using end-to-end measurements. Internet Measurement Conference 2003: 192-203 - 2002
- [j5]M. J. Coates, Ercan E. Kuruoglu
:
Time-frequency-based detection in impulsive noise environments using alpha-stable noise models. Signal Process. 82(12): 1917-1925 (2002) - [j4]Mark Coates, Alfred O. Hero III, Robert D. Nowak, Bin Yu:
Internet tomography. IEEE Signal Process. Mag. 19(3): 47-65 (2002) - [j3]Mark Coates, Robert D. Nowak:
Sequential Monte Carlo inference of internal delays in nonstationary data networks. IEEE Trans. Signal Process. 50(2): 366-376 (2002) - [c9]Yolanda Tsang, Mark Coates, Robert D. Nowak:
Nonparametric internet tomography. ICASSP 2002: 2045-2048 - [c8]Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang:
Maximum likelihood network topology identification from edge-based unicast measurements. SIGMETRICS 2002: 11-20 - 2001
- [j2]Richard G. Baraniuk, Mark Coates, Philippe Steeghs:
Hybrid linear/quadratic time-frequency attributes. IEEE Trans. Signal Process. 49(4): 760-766 (2001) - [c7]Yolanda Tsang, Mark Coates, Robert D. Nowak:
Passive network tomography using EM algorithms. ICASSP 2001: 1469-1472 - [c6]Mark Coates, Robert D. Nowak:
Network tomography for internal delay estimation. ICASSP 2001: 3409-3412 - 2000
- [c5]Mark Coates, William J. Fitzgerald:
Time-frequency signal decomposition using energy mixture models. ICASSP 2000: 633-636 - [c4]Richard G. Baraniuk, Mark Coates, Philippe Steeghs:
Hybrid linear/quadratic time-frequency attributes. ICASSP 2000: 681-684 - [c3]Rutger L. van Spaendonck, Felix C. A. Fernandes, Mark Coates, C. Sidney Burrus:
Non-Redundant, Directionally Selective, Complex Wavelets. ICIP 2000: 379-382
1990 – 1999
- 1999
- [j1]M. J. Coates, William J. Fitzgerald:
Regionally optimised time-frequency distributions using finite mixture models. Signal Process. 77(3): 247-260 (1999) - [c2]Mark J. Coates, Arnaud Doucet
:
Sequential Bayesian wavelet denoising. ISSPA 1999: 595-598 - 1998
- [c1]Mark J. Coates, Christophe G. Molina, William J. Fitzgerald:
Regionally optimised kernels for time-frequency distributions. ICASSP 1998: 1553-1556
Coauthor Index
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