Mark Crowley

Mark Crowley

University of Waterloo

H-index: 23

North America-Canada

About Mark Crowley

Mark Crowley, With an exceptional h-index of 23 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Machine Learning, Artificial Intelligence, Computational Sustainability, Reinforcement Learning, Anomaly Detection.

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

Disentanglement in Implicit Causal Models via Switch Variable

ChemGymRL: A Customizable Interactive Framework for Reinforcement Learning for Digital Chemistry

Elements of dimensionality reduction and manifold learning

Sufficient Dimension Reduction and Kernel Dimension Reduction

Background on Linear Algebra

Dynamic observation policies in observation cost-sensitive reinforcement learning

Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning

Stochastic Neighbour Embedding

Mark Crowley Information

University

Position

Assistant Professor Electrical and Computer Engineering

Citations(all)

2183

Citations(since 2020)

2017

Cited By

535

hIndex(all)

23

hIndex(since 2020)

22

i10Index(all)

43

i10Index(since 2020)

39

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Mark Crowley Skills & Research Interests

Machine Learning

Artificial Intelligence

Computational Sustainability

Reinforcement Learning

Anomaly Detection

Top articles of Mark Crowley

Title

Journal

Author(s)

Publication Date

Disentanglement in Implicit Causal Models via Switch Variable

arXiv preprint arXiv:2402.11124

Shayan Shirahmad Gale Bagi

Zahra Gharaee

Oliver Schulte

Mark Crowley

2024/2/16

ChemGymRL: A Customizable Interactive Framework for Reinforcement Learning for Digital Chemistry

Digital Discovery

Chris Beeler

Sriram Ganapathi Subramanian

Kyle Sprague

Mark Baula

Nouha Chatti

...

2024

Elements of dimensionality reduction and manifold learning

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/2

Sufficient Dimension Reduction and Kernel Dimension Reduction

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Background on Linear Algebra

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Dynamic observation policies in observation cost-sensitive reinforcement learning

arXiv preprint arXiv:2307.02620

Colin Bellinger

Mark Crowley

Isaac Tamblyn

2023/7/5

Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning

arXiv preprint arXiv:2301.11153

Sriram Ganapathi Subramanian

Matthew E Taylor

Kate Larson

Mark Crowley

2023/1/26

Stochastic Neighbour Embedding

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Fisher Discriminant Analysis

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Generative causal representation learning for out-of-distribution motion forecasting

Shayan Shirahmad Gale Bagi

Zahra Gharaee

Oliver Schulte

Mark Crowley

2023/7/3

KKT Conditions

First-Order and

Benyamin Ghojogh

A Ghodsi

F Karray

M Crowley

2023

Background on Optimization

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Background on Kernels

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Chemgymrl: An interactive framework for reinforcement learning for digital chemistry

arXiv preprint arXiv:2305.14177

Chris Beeler

Sriram Ganapathi Subramanian

Kyle Sprague

Nouha Chatti

Colin Bellinger

...

2023/5/23

Random Projection

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Uniform manifold approximation and projection (UMAP)

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Locally linear embedding

Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Jianzhong Wang

Jianzhong Wang

2012

Multidimensional Scaling, Sammon Mapping, and Isomap

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

Principal Component Analysis

Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Jianzhong Wang

Jianzhong Wang

2012

Factor analysis and probabilistic principal component analysis

Benyamin Ghojogh

Mark Crowley

Fakhri Karray

Ali Ghodsi

2023/2/3

See List of Professors in Mark Crowley University(University of Waterloo)

Co-Authors

H-index: 92
Mike Flannigan

Mike Flannigan

University of Alberta

H-index: 89
Thomas Dietterich

Thomas Dietterich

Oregon State University

H-index: 62
Fakhreddine (Fakhri)  Karray

Fakhreddine (Fakhri) Karray

University of Waterloo

H-index: 51
H.R. Tizhoosh

H.R. Tizhoosh

University of Waterloo

H-index: 48
Ali Ghodsi

Ali Ghodsi

University of Waterloo

H-index: 47
Matthew E. Taylor

Matthew E. Taylor

University of Alberta

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