Yuri A. Lawryshyn

According to our database, Yuri A. Lawryshyn authored at least 28 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification.

Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

CoRR, 2024

2023

Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data.

Jinhong Wu, Konstantinos N. Plataniotis, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn

Algorithms, February, 2023

DataDAM: Efficient Dataset Distillation with Attention Matching.

Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction.

Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Acoustics, 2023

Empirical Study of Graph Spectra and Their Limitations.

Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

Statistical network isomorphism.

Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn

CoRR, 2022

Surprise Minimizing Multi-Agent Learning with Energy-based Models.

Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Subclass Knowledge Distillation with Known Subclass Labels.

Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Statistical Network Similarity.

Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn

Proceedings of the Complex Networks and Their Applications XI, 2022

2021

Deep learning-aided runtime opcode-based Windows malware detection.

Enes Sinan Parildi, Dimitrios Hatzinakos, Yuri A. Lawryshyn

Neural Comput. Appl., 2021

TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution.

Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn

CoRR, 2021

2020

Neural Network Architecture and Transient Evoked Otoacoustic Emission (TEOAE) Biometrics for Identification and Verification.

Jin Sung Kang, Yuri A. Lawryshyn, Dimitrios Hatzinakos

IEEE Trans. Inf. Forensics Secur., 2020

Risk analysis of an underground gas storage facility using a physics-based system performance model and Monte Carlo simulation.

Zaki Syed, Yuri A. Lawryshyn

Reliab. Eng. Syst. Saf., 2020

Energy-based Surprise Minimization for Multi-Agent Value Factorization.

Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn

CoRR, 2020

Implicit Feedback Deep Collaborative Filtering Product Recommendation System.

Karthik Raja Kalaiselvi Bhaskar, Deepa Kundur, Yuri A. Lawryshyn

CoRR, 2020

Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning.

Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn

CoRR, 2020

Market Graph Clustering Via QUBO and Digital Annealing.

Seo Hong, Pierre Miasnikof, Roy Kwon, Yuri A. Lawryshyn

CoRR, 2020

Graph Distances and Clustering.

Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Yuri A. Lawryshyn

CoRR, 2020

Graph Clustering Via QUBO and Digital Annealing.

Pierre Miasnikof, Seo Hong, Yuri A. Lawryshyn

CoRR, 2020

A density-based statistical analysis of graph clustering algorithm performance.

Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos, Ernesto Estrada

J. Complex Networks, 2020

Optimal inventory policy through dual sourcing.

Matthew Davison, Yuri A. Lawryshyn, Volodymyr Miklyukh

Comput. Manag. Sci., 2020

Distances on a Graph.

Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Alexander Ponomarenko, Yuri A. Lawryshyn

Proceedings of the Complex Networks & Their Applications IX, 2020

2019

A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance.

Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos

CoRR, 2019

2018

A Statistical Performance Analysis of Graph Clustering Algorithms.

Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn

Proceedings of the Algorithms and Models for the Web Graph - 15th International Workshop, 2018

2017

New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework.

Yuri A. Lawryshyn, Mikael Collan, Pasi Luukka, Mario Fedrizzi

Expert Syst. Appl., 2017

Using managerial revenue and cost estimates to value early stage real option investments.

Sebastian Jaimungal, Yuri A. Lawryshyn

Ann. Oper. Res., 2017

2016

A new rank dependent utility approach to model risk averse preferences in portfolio optimization.

Leili Javanmardi, Yuri A. Lawryshyn

Ann. Oper. Res., 2016

1997

Robot link and contact surface dynamic interaction: An experimental study of contact task instability.

James K. Mills, Yuri A. Lawryshyn

J. Field Robotics, 1997