Casimir Wierzynski

12 papers A* 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2022 — conf
Computing representations for Lie algebraic networks.
NeurReps
Noah Shutty, Casimir Wierzynski
2020 J jnl
Design of optical neural networks with component imprecisions.
CoRR
Michael Y.-S. Fang, Sasikanth Manipatruni, Casimir Wierzynski, Amir Khosrowshahi, Michael Robert DeWeese
2020 J jnl
Learning Irreducible Representations of Noncommutative Lie Groups.
CoRR
Noah Shutty, Casimir Wierzynski
2020 A* conf
Optimizing User Interface Layouts via Gradient Descent.
CHI
Peitong Duan, Casimir Wierzynski, Lama Nachman
2020 J jnl
Optimizing User Interface Layouts via Gradient Descent.
CoRR
Peitong Duan, Casimir Wierzynski, Lama Nachman
2019 — conf
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
WAHC@CCS
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
2019 J jnl
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
CoRR
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
2019 J jnl
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
IACR Cryptol. ePrint Arch.
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
2019 J jnl
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
IACR Cryptol. ePrint Arch.
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
2019 — conf
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data.
CF
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
2018 J jnl
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics.
CoRR
Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit
2018 J jnl
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
CoRR
Fabian Boemer, Yixing Lao, Casimir Wierzynski