Yuri A. Lawryshyn

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Gaussian Mixture

Top Venues

COMPLEX NETWORKS (2)

Publications

Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
ATOM: Attention Mixer for Efficient Dataset Distillation. CoRR (2024)
Reilly Pickard, Finn Wredenhagen, Yuri A. Lawryshyn
Optimizing Deep Reinforcement Learning for American Put Option Hedging. CoRR (2024)
Truman Yuen, Graham A. Watt, Yuri A. Lawryshyn
Assisting humans in complex comparisons: automated information comparison at scale. CoRR (2024)
Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification. ICASSP (2024)
Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification. CoRR (2024)
Reilly Pickard, Finn Wredenhagen, Julio DeJesus, Mario Schlener, Yuri A. Lawryshyn
Hedging American Put Options with Deep Reinforcement Learning. CoRR (2024)
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction. CoRR (2023)
Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
DataDAM: Efficient Dataset Distillation with Attention Matching. ICCV (2023)
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction. ICASSP (2023)
Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
DataDAM: Efficient Dataset Distillation with Attention Matching. CoRR (2023)
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
Empirical Study of Graph Spectra and Their Limitations. COMPLEX NETWORKS (1) (2023)
Jinhong Wu, Konstantinos N. Plataniotis, Lucy Liu, Ehsan Amjadian, Yuri A. Lawryshyn
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data. Algorithms 16 (2) (2023)
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri A. Lawryshyn
Statistical Network Similarity. COMPLEX NETWORKS (2) (2022)
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
Surprise Minimizing Multi-Agent Learning with Energy-based Models. NeurIPS (2022)
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
Subclass Knowledge Distillation with Known Subclass Labels. IVMSP (2022)
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
Subclass Knowledge Distillation with Known Subclass Labels. CoRR (2022)
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
Energy-based Surprise Minimization for Multi-Agent Value Factorization. CoRR (2020)
Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn
Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. CoRR (2020)
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) (1997)