Casimir Wierzynski

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Computing representations for Lie algebraic networks.

Noah Shutty, Casimir Wierzynski

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

2020

Learning Irreducible Representations of Noncommutative Lie Groups.

Noah Shutty, Casimir Wierzynski

CoRR, 2020

Design of optical neural networks with component imprecisions.

Michael Y.-S. Fang, Sasikanth Manipatruni, Casimir Wierzynski, Amir Khosrowshahi, Michael Robert DeWeese

CoRR, 2020

Optimizing User Interface Layouts via Gradient Descent.

Peitong Duan, Casimir Wierzynski, Lama Nachman

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.

Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.

Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski

Proceedings of the 7th ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2019

2018

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

Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit

CoRR, 2018

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

Fabian Boemer, Yixing Lao, Casimir Wierzynski

CoRR, 2018