Yuri A. Lawryshyn

According to our database1, Yuri A. Lawryshyn authored at least 33 papers between 1997 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Optimizing Deep Reinforcement Learning for American Put Option Hedging.
CoRR, 2024

Hedging American Put Options with Deep Reinforcement Learning.
CoRR, 2024

Assisting humans in complex comparisons: automated information comparison at scale.
CoRR, 2024

ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Data-to-Model Distillation: Data-Efficient Learning Framework.
Proceedings of the Computer Vision - ECCV 2024, 2024

ATOM: Attention Mixer for Efficient Dataset Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data.
Algorithms, February, 2023

DataDAM: Efficient Dataset Distillation with Attention Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Empirical Study of Graph Spectra and Their Limitations.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
Statistical network isomorphism.
CoRR, 2022

Surprise Minimizing Multi-Agent Learning with Energy-based Models.
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.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Statistical Network Similarity.
Proceedings of the Complex Networks and Their Applications XI, 2022

2021
Deep learning-aided runtime opcode-based Windows malware detection.
Neural Comput. Appl., 2021

TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution.
CoRR, 2021

2020
Neural Network Architecture and Transient Evoked Otoacoustic Emission (TEOAE) Biometrics for Identification and Verification.
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.
Reliab. Eng. Syst. Saf., 2020

Energy-based Surprise Minimization for Multi-Agent Value Factorization.
CoRR, 2020

Implicit Feedback Deep Collaborative Filtering Product Recommendation System.
CoRR, 2020

Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning.
CoRR, 2020

Market Graph Clustering Via QUBO and Digital Annealing.
CoRR, 2020

Graph Distances and Clustering.
CoRR, 2020

Graph Clustering Via QUBO and Digital Annealing.
CoRR, 2020

A density-based statistical analysis of graph clustering algorithm performance.
J. Complex Networks, 2020

Optimal inventory policy through dual sourcing.
Comput. Manag. Sci., 2020

Distances on a Graph.
Proceedings of the Complex Networks & Their Applications IX, 2020

2019
A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance.
CoRR, 2019

2018
A Statistical Performance Analysis of Graph Clustering Algorithms.
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.
Expert Syst. Appl., 2017

Using managerial revenue and cost estimates to value early stage real option investments.
Ann. Oper. Res., 2017

2016
A new rank dependent utility approach to model risk averse preferences in portfolio optimization.
Ann. Oper. Res., 2016

1997
Robot link and contact surface dynamic interaction: An experimental study of contact task instability.
J. Field Robotics, 1997


  Loading...