Mark Coates

Orcid: 0000-0001-5030-1379

Affiliations:
  • McGill University, Montreal, Canada


According to our database1, Mark Coates authored at least 169 papers between 1998 and 2024.

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Bibliography

2024
Population Monte Carlo With Normalizing Flow.
IEEE Signal Process. Lett., 2024

Personalized Negative Reservoir for Incremental Learning in Recommender Systems.
CoRR, 2024

2023
Multi-resolution Time-Series Transformer for Long-term Forecasting.
CoRR, 2023

Interacting Diffusion Processes for Event Sequence Forecasting.
CoRR, 2023

Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN.
CoRR, 2023

Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification.
CoRR, 2023

Neural Graph Generation from Graph Statistics.
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.
Proceedings of the International Conference on Machine Learning, 2023

Bidirectional Learning for Offline Model-based Biological Sequence Design.
Proceedings of the International Conference on Machine Learning, 2023

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Performing Neural Architecture Search Without Gradients.
Proceedings of the IEEE International Conference on Acoustics, 2023

Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification.
Proceedings of the Conference on Lifelong Learning Agents, 2023

Spectral Augmentations for Graph Contrastive Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Diffusing Gaussian Mixtures for Generating Categorical Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network.
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.
IEEE Wirel. Commun. Lett., 2022

Node copying: A random graph model for effective graph sampling.
Signal Process., 2022

DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision.
CoRR, 2022

Spectral image clustering on dual-energy CT scans using functional regression mixtures.
CoRR, 2022

Motion Inbetweening via Deep Δ-Interpolator.
CoRR, 2022

Bidirectional Learning for Offline Infinite-width Model-based Optimization.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

Contrastive Learning for Time Series on Dynamic Graphs.
Proceedings of the 30th European Signal Processing Conference, 2022

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation.
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.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization.
IEEE Trans. Signal Process., 2021

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems.
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.
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.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping.
CoRR, 2020

Non Parametric Graph Learning for Bayesian Graph Neural Networks.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

A Tripartite Theory of Trustworthiness for Autonomous Systems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Neighbor Interaction Aware Graph Convolution Networks for Recommendation.
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.
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.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels.
Proceedings of the IEEE Globecom Workshops, 2020

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning from Networks of Distributions.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Memory Augmented Graph Neural Networks for Sequential Recommendation.
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.
IEEE Trans. Signal Process., 2019

Graph-Based Compression for Distributed Particle Filters.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Bayesian Graph Convolutional Neural Networks using Node Copying.
CoRR, 2019

Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning.
CoRR, 2019

Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization.
CoRR, 2019

Multi-graph Convolution Collaborative Filtering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multiple-graph Recurrent Graph Convolutional Neural Network Architectures for Predicting Disease Outcomes.
Proceedings of the IEEE International Conference on Acoustics, 2019

Scalable MCMC in Degree Corrected Stochastic Block Model.
Proceedings of the IEEE International Conference on Acoustics, 2019

Microwave Radar for Breast Screening: Initial Clinical Data with Suspicious-Lesion Patients.
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.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Particle Flow Particle Filter using Gromov's method.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sequential MCMC With The Discrete Bouncy Particle Sampler.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Cost Adaptation for Robust Decentralized Swarm Behaviour.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Particle Flow Particle Filter for Gaussian Mixture Noise Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
A Multisensor Multi-Bernoulli Filter.
IEEE Trans. Signal Process., 2017

Particle Filtering With Invertible Particle Flow.
IEEE Trans. Signal Process., 2017

Online Bayesian Inference of Diffusion Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Semi-parametric order-based generalized multivariate regression.
J. Multivar. Anal., 2017

Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation.
Biomed. Signal Process. Control., 2017

Particle flow SMC delta-GLMB filter.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sequential MCMC with invertible particle flow.
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.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Gaussian sum particle flow filter.
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.
IEEE Trans. Biomed. Eng., 2016

Multisensor CPHD filter.
IEEE Trans. Aerosp. Electron. Syst., 2016

A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces.
IEEE Signal Process. Lett., 2016

Bayesian inference of diffusion networks with unknown infection times.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Order-based generalized multivariate regression.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Sparse multivariate factor regression.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Distributed multi-sensor CPHD filter using pairwise gossiping.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Particle flow for particle filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast particle flow particle filters via clustering.
Proceedings of the 19th International Conference on Information Fusion, 2016

Graph Laplacian distributed particle filtering.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Optimal Forwarding in Opportunistic Delay Tolerant Networks With Meeting Rate Estimations.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Error Propagation in Gossip-Based Distributed Particle Filters.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Hybrid multi-Bernoulli and CPHD filters for superpositional sensors.
IEEE Trans. Aerosp. Electron. Syst., 2015

Bayesian topic model approaches to online and time-dependent clustering.
Digit. Signal Process., 2015

Online time-dependent clustering using probabilistic topic models.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

General solution and approximate implementation of the multisensor multitarget CPHD filter.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Cost-sensitive ensemble classifiers for microwave breast cancer detection.
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.
Proceedings of the 18th International Conference on Information Fusion, 2015

Performance investigation on constraint sufficient statistics distributed particle filter.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

Particle flow auxiliary particle filter.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Opportunistic networks: Minimizing expected latency.
Proceedings of the IEEE 10th International Conference on Wireless and Mobile Computing, 2014

Distributed ensemble Kalman filtering.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

2013
Radio-Frequency Tomography for Passive Indoor Multitarget Tracking.
IEEE Trans. Mob. Comput., 2013

Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection.
IEEE Trans. Biomed. Eng., 2013

Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors.
IEEE J. Sel. Top. Signal Process., 2013

Content Distribution Strategies in Opportunistic Networks.
CoRR, 2013

Contact graph based routing in opportunistic networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Multi-Bernoulli filter for superpositional sensors.
Proceedings of the 16th International Conference on Information Fusion, 2013

Particle filter implementation of the multi-Bernoulli filter for superpositional sensors.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Distributed underwater acoustic source localization and tracking.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
GANC: Greedy agglomerative normalized cut for graph clustering.
Pattern Recognit., 2012

Implementation of the Daum-Huang exact-flow particle filter.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Weblog Analysis for Predicting Correlations in Stock Price Evolutions.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Recent progress in ultra-wideband microwave breast cancer detection.
Proceedings of the IEEE International Conference on Ultra-Wideband, 2012

An energy-efficiency assessment of Content Centric Networking (CCN).
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2011
Efficient Delay-Tolerant Particle Filtering.
IEEE Trans. Signal Process., 2011

Introduction to the Issue on Gossiping Algorithms Design and Applications.
IEEE J. Sel. Top. Signal Process., 2011

Cross-Layer Monitoring in Transparent Optical Networks.
JOCN, 2011

GANC: Greedy Agglomerative Normalized Cut
CoRR, 2011

Large scale probabilistic available bandwidth estimation.
Comput. Networks, 2011

Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection.
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.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Distributed auxiliary particle filters using selective gossip.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sequential Monte Carlo Radio-Frequency tomographic tracking.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multi-target tracking for measurement models with additive contributions.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Greedy gossip with eavesdropping.
IEEE Trans. Signal Process., 2010

Optimization and analysis of distributed averaging with short node memory.
IEEE Trans. Signal Process., 2010

Real-Time Multi-path Tracking of Probabilistic Available Bandwidth
CoRR, 2010

Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
CoRR, 2010

Asynchronous distributed particle filter via decentralized evaluation of Gaussian products.
Proceedings of the 13th Conference on Information Fusion, 2010

Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Accelerated Distributed Average Consensus via Localized Node State Prediction.
IEEE Trans. Signal Process., 2009

Scheduling in overlaid star all-photonic networks with large propagation delays.
Photonic Netw. Commun., 2009

Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

The speed of greed: Characterizing myopic gossip through network voracity.
Proceedings of the IEEE International Conference on Acoustics, 2009

Multi-hop Greedy Gossip with Eavesdropping.
Proceedings of the 12th International Conference on Information Fusion, 2009

Optimization and analysis of distributed averaging with memory.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Distributed Average Consensus With Dithered Quantization.
IEEE Trans. Signal Process., 2008

Equipment allocation in video-on-demand network deployments.
ACM Trans. Multim. Comput. Commun. Appl., 2008

Greedy gossip with eavesdropping.
Proceedings of the Third International Symposium on Wireless Pervasive Computing, 2008

Learning to satisfy.
Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed average consensus with increased convergence rate.
Proceedings of the IEEE International Conference on Acoustics, 2008

Weak sense Lp error bounds for leader-node distributed particle filters.
Proceedings of the 11th International Conference on Information Fusion, 2008

Rates of convergence for greedy gossip with eavesdropping.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007
Video-on-Demand Networks: Design Approaches and Future Challenges.
IEEE Netw., 2007

Video-on-Demand Server Selection and Placement.
Proceedings of the Managing Traffic Performance in Converged Networks, 2007

Feedback Control System for Scheduling of Wide-Area All-Photonic Networks.
Proceedings of the 12th IEEE Symposium on Computers and Communications (ISCC 2007), 2007

Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Compressed network monitoring for ip and all-optical networks.
Proceedings of the 7th ACM SIGCOMM Internet Measurement Conference, 2007

2006
Deterministic packet marking for time-varying congestion price estimation.
IEEE/ACM Trans. Netw., 2006

Multiple-Source Internet Tomography.
IEEE J. Sel. Areas Commun., 2006

Fair Matching Algorithm: Fixed-Length Frame Scheduling in All-Photonic Networks.
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.
Proceedings of the Fifth IEEE International Symposium on Network Computing and Applications, 2006

Optimal Actuation Strategies for Sensor/Actuator Networks.
Proceedings of the 3rd Annual International ICST Conference on Mobile and Ubiquitous Systems: Computing, 2006

Epidemiological Modelling of Peer-to-Peer Viruses and Pollution.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Minimum Rejection Scheduling in All-Photonic Networks.
Proceedings of the 3rd International Conference on Broadband Communications, 2006

2005
Evaluating causal relationships in wireless sensor/actuator networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Likelihood based hierarchical clustering.
IEEE Trans. Signal Process., 2004

Distributed particle filters for sensor networks.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Deterministic Packet Marking for Congestion Price Estimation.
Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Multiple Source, Multiple Destination Network Tomography.
Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Evaluating average causal effect using wireless sensor networks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Network delay tomography.
IEEE Trans. Signal Process., 2003

Merging logical topologies using end-to-end measurements.
Proceedings of the 3rd ACM SIGCOMM Internet Measurement Conference, 2003

2002
Sequential Monte Carlo inference of internal delays in nonstationary data networks.
IEEE Trans. Signal Process., 2002

Internet tomography.
IEEE Signal Process. Mag., 2002

Time-frequency-based detection in impulsive noise environments using alpha-stable noise models.
Signal Process., 2002

Maximum likelihood network topology identification from edge-based unicast measurements.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2002

Nonparametric internet tomography.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Hybrid linear/quadratic time-frequency attributes.
IEEE Trans. Signal Process., 2001

Passive network tomography using EM algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2001

Network tomography for internal delay estimation.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Non-Redundant, Directionally Selective, Complex Wavelets.
Proceedings of the 2000 International Conference on Image Processing, 2000

Time-frequency signal decomposition using energy mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Regionally optimised time-frequency distributions using finite mixture models.
Signal Process., 1999

Sequential Bayesian wavelet denoising.
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.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998


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