Axel Feldmann

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Variational Bayesian

Item Recommendation

Memory Hierarchy

Top Venues

Publications

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)
Logan Engstrom, Axel Feldmann, Aleksander Madry
DsDm: Model-Aware Dataset Selection with Datamodels. CoRR (2024)
Axel Feldmann, Daniel Sánchez
Spatula: A Hardware Accelerator for Sparse Matrix Factorization. MICRO (2023)
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) (2022)
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)
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)
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 (2021)
Elliot Lockerman, Axel Feldmann, Mohammad Bakhshalipour, Alexandru Stanescu, Shashwat Gupta, Daniel Sánchez, Nathan Beckmann
Livia: Data-Centric Computing Throughout the Memory Hierarchy. ASPLOS (2020)