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Yuri A. Lawryshyn
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2020 – today
- 2024
- [c11]Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ATOM: Attention Mixer for Efficient Dataset Distillation. CVPR Workshops 2024: 7692-7702 - [c10]Ahmad Sajedi
, Samir Khaki
Data-to-Model Distillation: Data-Efficient Learning Framework. ECCV (43) 2024: 438-457 - [c9]Ahmad Sajedi, Samir Khaki
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification. ICASSP 2024: 5115-5119 - [i18]Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification. CoRR abs/2401.01448 (2024) - [i17]Truman Yuen, Graham A. Watt, Yuri A. Lawryshyn:
Assisting humans in complex comparisons: automated information comparison at scale. CoRR abs/2404.04351 (2024) - [i16]Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ATOM: Attention Mixer for Efficient Dataset Distillation. CoRR abs/2405.01373 (2024) - [i15]Reilly Pickard, Finn Wredenhagen, Julio DeJesus, Mario Schlener, Yuri A. Lawryshyn:
Hedging American Put Options with Deep Reinforcement Learning. CoRR abs/2405.06774 (2024) - [i14]Reilly Pickard, Finn Wredenhagen, Yuri A. Lawryshyn:
Optimizing Deep Reinforcement Learning for American Put Option Hedging. CoRR abs/2405.08602 (2024) - [i13]Yining Wang, Jinman Zhao, Yuri A. Lawryshyn:
GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process. CoRR abs/2410.18448 (2024) - 2023
- [j10]Jinhong Wu, Konstantinos N. Plataniotis
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data. Algorithms 16(2): 121 (2023) - [c8]Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn:
Empirical Study of Graph Spectra and Their Limitations. COMPLEX NETWORKS (1) 2023: 295-307 - [c7]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction. ICASSP 2023: 1-5 - [c6]Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
DataDAM: Efficient Dataset Distillation with Attention Matching. ICCV 2023: 17051-17061 - [i12]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction. CoRR abs/2306.07309 (2023) - [i11]Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
DataDAM: Efficient Dataset Distillation with Attention Matching. CoRR abs/2310.00093 (2023) - 2022
- [c5]Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn:
Statistical Network Similarity. COMPLEX NETWORKS (2) 2022: 325-336 - [c4]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
Subclass Knowledge Distillation with Known Subclass Labels. IVMSP 2022: 1-5 - [c3]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Surprise Minimizing Multi-Agent Learning with Energy-based Models. NeurIPS 2022 - [i10]Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn:
Statistical network isomorphism. CoRR abs/2206.10074 (2022) - [i9]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
Subclass Knowledge Distillation with Known Subclass Labels. CoRR abs/2207.08063 (2022) - 2021
- [j9]Enes Sinan Parildi
Deep learning-aided runtime opcode-based Windows malware detection. Neural Comput. Appl. 33(18): 11963-11983 (2021) - [i8]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. CoRR abs/2104.00620 (2021) - 2020
- [j8]Matthew Davison
Optimal inventory policy through dual sourcing. Comput. Manag. Sci. 17(2): 327-355 (2020) - [j7]Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos, Ernesto Estrada:
A density-based statistical analysis of graph clustering algorithm performance. J. Complex Networks 8(3) (2020) - [j6]Zaki Syed, Yuri A. Lawryshyn:
Risk analysis of an underground gas storage facility using a physics-based system performance model and Monte Carlo simulation. Reliab. Eng. Syst. Saf. 199: 106792 (2020) - [j5]Jin Sung Kang
Neural Network Architecture and Transient Evoked Otoacoustic Emission (TEOAE) Biometrics for Identification and Verification. IEEE Trans. Inf. Forensics Secur. 15: 1858-1867 (2020) - [c2]Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Alexander Ponomarenko, Yuri A. Lawryshyn:
Distances on a Graph. COMPLEX NETWORKS (1) 2020: 189-199 - [i7]Pierre Miasnikof, Seo Hong, Yuri A. Lawryshyn:
Graph Clustering Via QUBO and Digital Annealing. CoRR abs/2003.03872 (2020) - [i6]Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Yuri A. Lawryshyn:
Graph Distances and Clustering. CoRR abs/2004.03016 (2020) - [i5]Seo Hong, Pierre Miasnikof, Roy Kwon, Yuri A. Lawryshyn:
Market Graph Clustering Via QUBO and Digital Annealing. CoRR abs/2006.10716 (2020) - [i4]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. CoRR abs/2007.13690 (2020) - [i3]Karthik Raja Kalaiselvi Bhaskar
Implicit Feedback Deep Collaborative Filtering Product Recommendation System. CoRR abs/2009.08950 (2020) - [i2]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Energy-based Surprise Minimization for Multi-Agent Value Factorization. CoRR abs/2009.09842 (2020)
2010 – 2019
- 2019
- [i1]Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn, Panos M. Pardalos:
A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance. CoRR abs/1906.02366 (2019) - 2018
- [c1]Pierre Miasnikof, Alexander Y. Shestopaloff, Anthony J. Bonner, Yuri A. Lawryshyn:
A Statistical Performance Analysis of Graph Clustering Algorithms. WAW 2018: 170-184 - 2017
- [j4]Sebastian Jaimungal
Using managerial revenue and cost estimates to value early stage real option investments. Ann. Oper. Res. 259(1-2): 173-190 (2017) - [j3]Yuri A. Lawryshyn, Mikael Collan
New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework. Expert Syst. Appl. 86: 155-164 (2017) - 2016
- [j2]Leili Javanmardi, Yuri A. Lawryshyn:
A new rank dependent utility approach to model risk averse preferences in portfolio optimization. Ann. Oper. Res. 237(1-2): 161-176 (2016)
1990 – 1999
- 1997
- [j1]James K. Mills, Yuri A. Lawryshyn:
Robot link and contact surface dynamic interaction: An experimental study of contact task instability. J. Field Robotics 14(3): 213-227 (1997)
Coauthor Index
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