Casimir Wierzynski

According to our database1, Casimir Wierzynski authored at least 8 papers between 2018 and 2022.

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Bibliography

2022
Computing representations for Lie algebraic networks.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

2020
Learning Irreducible Representations of Noncommutative Lie Groups.
CoRR, 2020

Design of optical neural networks with component imprecisions.
CoRR, 2020

Optimizing User Interface Layouts via Gradient Descent.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
IACR Cryptol. ePrint Arch., 2019

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
IACR Cryptol. ePrint Arch., 2019

2018
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics.
CoRR, 2018

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
CoRR, 2018


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