Yuri A. Lawryshyn

41 papers A* 2C 1Misc 2Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A clusterability test for directed graphs.
CoRR
Mario R. Guarracino, Pierre Miasnikof, Alexander Y. Shestopaloff, Houyem Demni, Cristián Bravo, Yuri A. Lawryshyn
2024 — conf
ATOM: Attention Mixer for Efficient Dataset Distillation.
CVPR Workshops
Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
ATOM: Attention Mixer for Efficient Dataset Distillation.
CoRR
Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
Assisting humans in complex comparisons: automated information comparison at scale.
CoRR
Truman Yuen, Graham A. Watt, Yuri A. Lawryshyn
2024 — conf
Data-to-Model Distillation: Data-Efficient Learning Framework.
ECCV (43)
Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
Data-to-Model Distillation: Data-Efficient Learning Framework.
CoRR
Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process.
CoRR
Yining Wang, Jinman Zhao, Yuri A. Lawryshyn
2024 J jnl
Hedging American Put Options with Deep Reinforcement Learning.
CoRR
Reilly Pickard, Finn Wredenhagen, Julio DeJesus, Mario Schlener, Yuri A. Lawryshyn
2024 J jnl
Optimizing Deep Reinforcement Learning for American Put Option Hedging.
CoRR
Reilly Pickard, Finn Wredenhagen, Yuri A. Lawryshyn
2024 Misc conf
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification.
ICASSP
Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification.
CoRR
Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 J jnl
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction.
CoRR
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 Misc conf
A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction.
ICASSP
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 A* conf
DataDAM: Efficient Dataset Distillation with Attention Matching.
ICCV
Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 J jnl
DataDAM: Efficient Dataset Distillation with Attention Matching.
CoRR
Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 — conf
Empirical Study of Graph Spectra and Their Limitations.
COMPLEX NETWORKS (1)
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
2023 J jnl
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data.
Algorithms
Jinhong Wu, Konstantinos N. Plataniotis, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn
2022 — conf
Statistical Network Similarity.
COMPLEX NETWORKS (2)
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
2022 J jnl
Statistical network isomorphism.
CoRR
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
2022 — conf
Subclass Knowledge Distillation with Known Subclass Labels.
IVMSP
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2022 J jnl
Subclass Knowledge Distillation with Known Subclass Labels.
CoRR
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2022 A* conf
Surprise Minimizing Multi-Agent Learning with Energy-based Models.
NeurIPS
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
2021 J jnl
Deep learning-aided runtime opcode-based Windows malware detection.
Neural Comput. Appl.
Enes Sinan Parildi, Dimitrios Hatzinakos, Yuri A. Lawryshyn
2021 J jnl
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution.
CoRR
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
2020 J jnl
A density-based statistical analysis of graph clustering algorithm performance.
J. Complex Networks
Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos, Ernesto Estrada
2020 — conf
Distances on a Graph.
COMPLEX NETWORKS (1)
Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Alexander Ponomarenko, Yuri A. Lawryshyn
2020 J jnl
Energy-based Surprise Minimization for Multi-Agent Value Factorization.
CoRR
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
2020 J jnl
Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning.
CoRR
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
2020 J jnl
Graph Clustering Via QUBO and Digital Annealing.
CoRR
Pierre Miasnikof, Seo Hong, Yuri A. Lawryshyn
2020 J jnl
Graph Distances and Clustering.
CoRR
Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Yuri A. Lawryshyn
2020 J jnl
Implicit Feedback Deep Collaborative Filtering Product Recommendation System.
CoRR
Karthik Raja Kalaiselvi Bhaskar, Deepa Kundur, Yuri A. Lawryshyn
2020 J jnl
Market Graph Clustering Via QUBO and Digital Annealing.
CoRR
Seo Hong, Pierre Miasnikof, Roy Kwon, Yuri A. Lawryshyn
2020 J jnl
Neural Network Architecture and Transient Evoked Otoacoustic Emission (TEOAE) Biometrics for Identification and Verification.
IEEE Trans. Inf. Forensics Secur.
Jin Sung Kang, Yuri A. Lawryshyn, Dimitrios Hatzinakos
2020 J jnl
Optimal inventory policy through dual sourcing.
Comput. Manag. Sci.
Matthew Davison, Yuri A. Lawryshyn, Volodymyr Miklyukh
2020 J jnl
Risk analysis of an underground gas storage facility using a physics-based system performance model and Monte Carlo simulation.
Reliab. Eng. Syst. Saf.
Zaki Syed, Yuri A. Lawryshyn
2019 J jnl
A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance.
CoRR
Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos
2018 C conf
A Statistical Performance Analysis of Graph Clustering Algorithms.
WAW
Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn
2017 J jnl
New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework.
Expert Syst. Appl.
Yuri A. Lawryshyn, Mikael Collan, Pasi Luukka, Mario Fedrizzi
2017 J jnl
Using managerial revenue and cost estimates to value early stage real option investments.
Ann. Oper. Res.
Sebastian Jaimungal, Yuri A. Lawryshyn
2016 J jnl
A new rank dependent utility approach to model risk averse preferences in portfolio optimization.
Ann. Oper. Res.
Leili Javanmardi, Yuri A. Lawryshyn
1997 J jnl
Robot link and contact surface dynamic interaction: An experimental study of contact task instability.
J. Field Robotics
James K. Mills, Yuri A. Lawryshyn