Mark Crowley

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 110

Top Venues

CoRR

Canadian Conference on AI

ICIAR (1)

ICIAR (2)

Publications

Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
Disentanglement in Implicit Causal Models via Switch Variable. CoRR (2024)
Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Nouha Chatti, Colin Bellinger, Mitchell Shahen, Nicholas Paquin, Mark Baula, Amanuel Dawit, Zihan Yang, Xinkai Li, Mark Crowley, Isaac Tamblyn
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry. CoRR (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. CoRR (2023)
Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. CoRR (2023)
Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios. IEEE Trans. Affect. Comput. 14 (4) (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. AAMAS (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning (Extended Abstract). IJCAI (2023)
Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. ICML (2023)
Colin Bellinger, Mark Crowley, Isaac Tamblyn
Learning when to observe: A frugal reinforcement learning framework for a high-cost world. CoRR (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning. J. Artif. Intell. Res. 74 (2022)
Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn
Balancing Information with Observation Costs in Deep Reinforcement Learning. AI (2022)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Decentralized Mean Field Games. AAAI (2022)
Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
Investigation of independent reinforcement learning algorithms in multi-agent environments. Frontiers Artif. Intell. 5 (2022)
Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios. CoRR (2022)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. CoRR (2022)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. CoRR (2022)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. AI (2022)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. CoRR (2022)
Shayan Shirahmad Gale Bagi, Behzad Moshiri, Hossein Gharaee Garakani, Mark Crowley, Pouya Mehrannia
Real-Time Pedestrian Detection Using Enhanced Representations from Light-Weight YOLO Network. CoDIT (2022)
Zehra Camlica, Jim Quesenberry, Daniel Carballo, Mark Crowley
Aggressive Driver Behavior Detection using Parallel Convolutional Neural Networks on Simulated and Real Driving Data. IOTSMS (2022)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR (2021)
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
Magnification Generalization for Histopathology Image Embedding. CoRR (2021)
Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. ACML (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Generative Locally Linear Embedding. CoRR (2021)
Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. CoRR (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR (2021)
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
Active Measure Reinforcement Learning for Observation Cost Minimization. Canadian Conference on AI (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR (2021)
Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn
Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning. CoRR (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts 9 (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR (2021)
Aishwarya Krishna Allada, Yuanxin Wang, Veni Jindal, Morteza Babee, Hamid R. Tizhoosh, Mark Crowley
Analysis of Language Embeddings for Classification of Unstructured Pathology Reports. EMBC (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR (2021)
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
Magnification Generalization For Histopathology Image Embedding. ISBI (2021)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning. CoRR (2021)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Partially Observable Mean Field Reinforcement Learning. AAMAS (2021)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Decentralized Mean Field Games. CoRR (2021)
Moojan Ghafurian, Sami Alperen Akgun, Mark Crowley, Kerstin Dautenhahn
Recognition of a Robot's Affective Expressions Under Conditions with Limited Visibility. INTERACT (3) (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR (2021)
Chris Beeler, Xinkai Li, Mark Crowley, Maia Fraser, Isaac Tamblyn
Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment. CoRR (2021)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR (2021)
Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments. CoRR (2021)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition. CoRR (2020)
Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley
Isolation Mondrian Forest for Batch and Online Anomaly Detection. SMC (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. CoRR (2020)
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. Canadian Conference on AI (2020)
Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR (2020)
Juan Carrillo, Daniel Garijo, Mark Crowley, Rober Carrillo, Yolanda Gil, Katherine Borda
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. CoRR (2020)
Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CoRR (2020)
Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) (2020)
Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D. Flannigan
A review of machine learning applications in wildfire science and management. CoRR (2020)
Juan Carrillo, Mark Crowley
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions. CoRR (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. ICIAR (2) (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. Canadian Conference on AI (2020)
Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley
Isolation Mondrian Forest for Batch and Online Anomaly Detection. CoRR (2020)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Partially Observable Mean Field Reinforcement Learning. CoRR (2020)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR (2020)
Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CDC (2020)
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR (2020)
Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) (2020)
Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
Deep Multi Agent Reinforcement Learning for Autonomous Driving. Canadian Conference on AI (2020)
Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. CoRR (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution. CoRR (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders. CoRR (2020)
Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR (2020)
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
Active Measure Reinforcement Learning for Observation Cost Minimization. CoRR (2020)
Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent C. Gaudet, Fakhri Karray, Mark Crowley
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. CoRR (2020)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR (2020)
Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR (2020)
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. CoRR (2020)
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. CoRR (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. ICIAR (2) (2020)
Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. EMBC (2020)
Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN (2020)
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR (2020)
Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn
Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios. ICMI (2020)
Juan Carrillo, Mark Crowley, Guangyuan Pan, Liping Fu
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data. CoRR (2020)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Generalized Subspace Learning by Roweis Discriminant Analysis. ICIAR (1) (2020)
Benyamin Ghojogh, Mark Crowley
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. CoRR (2019)
Benyamin Ghojogh, Ali Saheb Pasand, Fakhri Karray, Mark Crowley
Quantized Fisher Discriminant Analysis. CoRR (2019)
Juan Manuel Carrillo Garcia, Daniel Garijo, Mark Crowley, Rober Carrillo, Yolanda Gil, Katherine Borda
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. SciKnow@K-CAP (2019)
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
Artificial Counselor System for Stock Investment. AAAI (2019)
Sushrut Bhalla, Matthew X. Yao, Jean-Pierre Hickey, Mark Crowley
Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks. ECML/PKDD (3) (2019)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Eigenvalue and Generalized Eigenvalue Problems: Tutorial. CoRR (2019)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. ICIAR (1) (2019)
Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
Training Cooperative Agents for Multi-Agent Reinforcement Learning. AAMAS (2019)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. CoRR (2019)
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
Artificial Counselor System for Stock Investment. CoRR (2019)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Principal Component Analysis Using Structural Similarity Index for Images. CoRR (2019)
Benyamin Ghojogh, Aydin Ghojogh, Mark Crowley, Fakhri Karray
Fitting A Mixture Distribution to Data: Tutorial. CoRR (2019)
Benyamin Ghojogh, Mark Crowley
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning. Canadian Conference on AI (2019)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Image Structure Subspace Learning Using Structural Similarity Index. ICIAR (1) (2019)
Benyamin Ghojogh, Maria N. Samad, Sayema Asif Mashhadi, Tania Kapoor, Wahab Ali, Fakhri Karray, Mark Crowley
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. CoRR (2019)
Benyamin Ghojogh, Mark Crowley
Unsupervised and Supervised Principal Component Analysis: Tutorial. CoRR (2019)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Roweis Discriminant Analysis: A Generalized Subspace Learning Method. CoRR (2019)
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Principal Component Analysis Using Structural Similarity Index for Images. ICIAR (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mark Crowley