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2020 – today
- 2024
[c6]Stephanie Fu, Mark Hamilton, Laura E. Brandt
, Axel Feldmann, Zhoutong Zhang, William T. Freeman:
FeatUp: A Model-Agnostic Framework for Features at Any Resolution. ICLR 2024- [c5]Logan Engstrom, Axel Feldmann, Aleksander Madry:
DsDm: Model-Aware Dataset Selection with Datamodels. ICML 2024 - [i3]Logan Engstrom, Axel Feldmann, Aleksander Madry:
DsDm: Model-Aware Dataset Selection with Datamodels. CoRR abs/2401.12926 (2024) - [i2]Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman:
FeatUp: A Model-Agnostic Framework for Features at Any Resolution. CoRR abs/2403.10516 (2024) - 2023
- [c4]Axel Feldmann, Daniel Sánchez:
Spatula: A Hardware Accelerator for Sparse Matrix Factorization. MICRO 2023: 91-104 - 2022
- [j1]Axel Feldmann, Nikola Samardzic, Aleksandar Krastev, Srinivas Devadas, Ronald G. Dreslinski, Chris Peikert, Daniel Sánchez:
An Architecture to Accelerate Computation on Encrypted Data. IEEE Micro 42(4): 59-68 (2022) - [c3]Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Nathan Manohar, Nicholas Genise, Srinivas Devadas, Karim Eldefrawy, Chris Peikert, Daniel Sánchez:
CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data. ISCA 2022: 173-187 - 2021
- [c2]Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Srinivas Devadas, Ronald G. Dreslinski, Christopher Peikert, Daniel Sánchez:
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption. MICRO 2021: 238-252 - [i1]Axel Feldmann, Nikola Samardzic, Aleksandar Krastev, Srini Devadas, Ronald G. Dreslinski, Karim Eldefrawy, Nicholas Genise, Chris Peikert, Daniel Sánchez:
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version). CoRR abs/2109.05371 (2021) - 2020
- [c1]Elliot Lockerman, Axel Feldmann, Mohammad Bakhshalipour, Alexandru Stanescu, Shashwat Gupta, Daniel Sánchez, Nathan Beckmann:
Livia: Data-Centric Computing Throughout the Memory Hierarchy. ASPLOS 2020: 417-433
Coauthor Index
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