Mark Coates

Mark Coates

McGill University

H-index: 51

North America-Canada

About Mark Coates

Mark Coates, With an exceptional h-index of 51 and a recent h-index of 29 (since 2020), a distinguished researcher at McGill University, specializes in the field of Signal Processing, Computer Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-resolution time-series transformer for long-term forecasting

Personalized Negative Reservoir for Incremental Learning in Recommender Systems

Neural Graph Generation from Graph Statistics

CKGConv: General Graph Convolution with Continuous Kernels

Method, system and computer readable medium for probabilistic spatiotemporal forecasting

Categorical Generative Model Evaluation via Synthetic Distribution Coarsening

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

Motion In-Betweening via Deep -Interpolator

Mark Coates Information

University

Position

Professor of Electrical Engineering

Citations(all)

10161

Citations(since 2020)

3259

Cited By

7977

hIndex(all)

51

hIndex(since 2020)

29

i10Index(all)

140

i10Index(since 2020)

74

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Mark Coates Skills & Research Interests

Signal Processing

Computer Networks

Top articles of Mark Coates

Title

Journal

Author(s)

Publication Date

Multi-resolution time-series transformer for long-term forecasting

Yitian Zhang

Liheng Ma

Soumyasundar Pal

Yingxue Zhang

Mark Coates

2024/4/18

Personalized Negative Reservoir for Incremental Learning in Recommender Systems

arXiv preprint arXiv:2403.03993

Antonios Valkanas

Yuening Wang

Yingxue Zhang

Mark Coates

2024/3/6

Neural Graph Generation from Graph Statistics

Advances in Neural Information Processing Systems

Kiarash Zahirnia

Yaochen Hu

Mark Coates

Oliver Schulte

2024/2/13

CKGConv: General Graph Convolution with Continuous Kernels

Liheng Ma

Soumyasundar Pal

Yitian Zhang

Jiaming Zhou

Yingxue Zhang

...

2024/4/21

Method, system and computer readable medium for probabilistic spatiotemporal forecasting

2015/12/1

Categorical Generative Model Evaluation via Synthetic Distribution Coarsening

Florence Regol

Mark Coates

2024/4/18

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

Muberra Ozmen

Joseph Cotnareanu

Mark Coates

2023/11/20

Motion In-Betweening via Deep -Interpolator

IEEE Transactions on Visualization and Computer Graphics

Boris N Oreshkin

Antonios Valkanas

Félix G Harvey

Louis-Simon Ménard

Florent Bocquelet

...

2023/8/28

Neighbor auto-grouping graph neural networks for handover parameter configuration in cellular network

Proceedings of the AAAI Conference on Artificial Intelligence

Mehrtash Mehrabi

Walid Masoudimansour

Yingxue Zhang

Jie Chuai

Zhitang Chen

...

2023/6/26

Evaluation Methods for Generative Models Honours Electrical Engineering Bachelor’s Thesis

Anja Kroon

Mark Coates

2023/4

Interacting Diffusion Processes for Event Sequence Forecasting

arXiv preprint arXiv:2310.17800

Mai Zeng

Florence Regol

Mark Coates

2023/10/26

Graph inductive biases in transformers without message passing

In ICML 2023

Liheng Ma

Chen Lin

Derek Lim

Adriana Romero-Soriano

Puneet K Dokania

...

2023/5/27

Performing Neural Architecture Search Without Gradients

Pavel Rumiantsev

Mark Coates

2023/6/4

Memory-augmented graph convolutional neural networks

2023/1/26

Jointly-Learned Exit and Inference for a Dynamic Neural Network

arXiv preprint arXiv:2310.09163

Florence Regol

Joud Chataoui

Mark Coates

2023/10/13

Bidirectional learning for offline model-based biological sequence design

Can Chen

Yingxue Zhang

Xue Liu

Mark Coates

2023/7/3

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

Florence Regol

Anja Kroon

Mark Coates

2023/6/4

DyG2Vec: Efficient Representation Learning for Dynamic Graphs

Transactions on Machine Learning Research

Mohammad Alomrani

Mahdi Biparva

Yingxue Zhang

Mark Coates

2023/10/3

Structure aware incremental learning with personalized imitation weights for recommender systems

Proceedings of the AAAI Conference on Artificial Intelligence

Yuening Wang

Yingxue Zhang

Antonios Valkanas

Ruiming Tang

Chen Ma

...

2023/6/26

Spectral augmentations for graph contrastive learning

Amur Ghose

Yingxue Zhang

Jianye Hao

Mark Coates

2023/4/11

See List of Professors in Mark Coates University(McGill University)

Co-Authors

H-index: 90
Robert D Nowak

Robert D Nowak

University of Wisconsin-Madison

H-index: 82
Alfred Hero

Alfred Hero

University of Michigan-Dearborn

H-index: 79
Bin YU

Bin YU

University of California, Berkeley

H-index: 25
Rui Castro

Rui Castro

Technische Universiteit Eindhoven

H-index: 24
Milica Popovic

Milica Popovic

McGill University

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