default search action
Mark Coates
Mark J. Coates – M. J. Coates
Person information
- affiliation: McGill University, Montreal, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j44]Soumyasundar Pal
, Antonios Valkanas
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
Motion In-Betweening via Deep $\Delta$Δ-Interpolator. IEEE Trans. Vis. Comput. Graph. 30(8): 5693-5704 (2024) - [c119]Florence Regol, Mark Coates:
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. AISTATS 2024: 910-918 - [c118]Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates:
Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS 2024: 4222-4230 - [c117]Yuening Wang
Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. CIKM 2024: 2462-2471 - [c116]Florence Regol, Joud Chataoui, Mark Coates:
Jointly-Learned Exit and Inference for a Dynamic Neural Network. ICLR 2024 - [c115]Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates:
CKGConv: General Graph Convolution with Continuous Kernels. ICML 2024 - [c114]Mai Zeng, Florence Regol, Mark Coates:
Interacting Diffusion Processes for Event Sequence Forecasting. ICML 2024 - [c113]Zhanguang Zhang
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD 2024: 6301-6311 - [i62]Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates:
Personalized Negative Reservoir for Incremental Learning in Recommender Systems. CoRR abs/2403.03993 (2024) - [i61]Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates:
CKGConv: General Graph Convolution with Continuous Kernels. CoRR abs/2404.13604 (2024) - [i60]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) - [i59]Antonios Valkanas, Boris N. Oreshkin, Mark Coates:
MODL: Multilearner Online Deep Learning. CoRR abs/2405.18281 (2024) - [i58]Pavel Rumiantsev, Mark Coates:
Graph Knowledge Distillation to Mixture of Experts. CoRR abs/2406.11919 (2024) - [i57]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) - [i56]Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao:
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data. CoRR abs/2409.12437 (2024) - [i55]Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates:
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation. CoRR abs/2409.18778 (2024) - [i54]Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates:
Sparse Decomposition of Graph Neural Networks. CoRR abs/2410.19723 (2024) - [i53]Theodore Glavas, Joud Chataoui, Florence Regol, Wassim Jabbour, Antonios Valkanas, Boris N. Oreshkin, Mark Coates:
Dynamic layer selection in decoder-only transformers. CoRR abs/2410.20022 (2024) - [i52]Yuening Wang, Chen Ma, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates:
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. CoRR abs/2410.21487 (2024) - [i51]Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates:
Differentially private and decentralized randomized power method. CoRR abs/2411.01931 (2024) - 2023
- [c112]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma
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
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
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
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
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
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
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
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR abs/2211.06370 (2022) - 2021
- [j39]Cody Mazza-Anthony
Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Trans. Signal Process. 69: 489-499 (2021) - [c95]Chen Ma
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
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
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
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
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD 2020: 1036-1044 - [c81]Jianing Sun, Wei Guo
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
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR 2020: 1289-1298 - [c79]Yingxu Wang
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
Graph-Based Compression for Distributed Particle Filters. IEEE Trans. Signal Inf. Process. over Networks 5(3): 404-417 (2019) - [j37]Yunpeng Li
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
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
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
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
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
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
Sequential MCMC with invertible particle flow. ICASSP 2017: 3844-3848 - [c64]Augustin-Alexandru Saucan, Yunpeng Li
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
Multisensor CPHD filter. IEEE Trans. Aerosp. Electron. Syst. 52(4): 1834-1854 (2016) - [j29]Emily Porter
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
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
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
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
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
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
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
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
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
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
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
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
[j43] [c118] [c117] [c115] [c113] [i62] [i61] [i60] [i56] [i55] [i54] [i52] [c112] [c110] [c109] [c105] [c104] [i50] [i49] [i48] [i46] [i41] [j41] [c99] [c96] [i36] [i35] [i34] [i31] [i30] [c95] [c93] [c92] [c91] [c90] [c89] [c88] [i29] [i28] [i27] [i26] [i25] [c87] [c85] [c83] [c82] [c81] [c80] [c78] [i24] [i23] [i22] [i19] [c77] [c71] [i14] [i13]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 21:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: