Casimir Wierzynski

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 12

Top Topics

High Throughput

Weakly Supervised

Top Venues

IACR Cryptol. ePrint Arch.

Publications

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