Andrew Hryniowski

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Trust Propagation

Machine Learning

Architectural Design

Top Venues

Publications

Andrew Hryniowski, Alexander Wong
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis. CVPR Workshops (2023)
Andrew Hryniowski, Alexander Wong
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis. CoRR (2023)
Audrey G. Chung, Francis Li, Jeremy Ward, Andrew Hryniowski, Alexander Wong
DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing. CoRR (2023)
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data. CoRR (2022)
Audrey G. Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification. CoRR (2021)
Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge. CoRR (2021)
Andrew Hryniowski, Xiao Yu Wang, Alexander Wong
Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities. CoRR (2020)
Andrew Hryniowski, Alexander Wong
Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics. CoRR (2020)
Alexander Wong, Andrew Hryniowski, Xiao Yu Wang
Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning. CoRR (2020)
Alexander Wong, Xiao Yu Wang, Andrew Hryniowski
How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks. CoRR (2020)
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong
State of Compact Architecture Search For Deep Neural Networks. CoRR (2019)
Andrew Hryniowski, Alexander Wong
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks. CoRR (2019)
Andrew Hryniowski, Alexander Wong
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions. CoRR (2019)
Andrew Hryniowski, Alexander Wong
PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations. CoRR (2018)
Andrew Hryniowski, Ibrahim Ben Daya, Ahmed Gawish, Mark Lamm, Alexander Wong, Paul W. Fieguth
Multi-projector Resolution Enhancement Through Biased Interpolation. CRV (2018)