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Axel Feldmann

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

5

Active years

2020–2025

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2025ICLRI-Con: A Unifying Framework for Representation Learning.Shaden Naif Alshammari, John R. Hershey, Axel Feldmann, William T. Freeman, Mark Hamilton
2025MICROQuartz: A Reconfigurable, Distributed-Memory Accelerator for Sparse Applications.Courtney Golden, Axel Feldmann, Joel S. Emer, Daniel Snchez
2024ICLRFeatUp: A Model-Agnostic Framework for Features at Any Resolution.Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman
2024ICMLDsDm: Model-Aware Dataset Selection with Datamodels.Logan Engstrom, Axel Feldmann, Aleksander Madry
2024MICROAzul: An Accelerator for Sparse Iterative Solvers Leveraging Distributed On-Chip Memory.Axel Feldmann, Courtney Golden, Yifan Yang, Joel S. Emer, Daniel Snchez
2023MICROSpatula: A Hardware Accelerator for Sparse Matrix Factorization.Axel Feldmann, Daniel Snchez
2022ISCACraterLake: a hardware accelerator for efficient unbounded computation on encrypted data.Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Nathan Manohar, Nicholas Genise, Srinivas Devadas, Karim Eldefrawy, Chris Peikert, Daniel Snchez
2021MICROF1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption.Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Srinivas Devadas, Ronald G. Dreslinski, Christopher Peikert, Daniel Snchez
2020ASPLOSLivia: Data-Centric Computing Throughout the Memory Hierarchy.Elliot Lockerman, Axel Feldmann, Mohammad Bakhshalipour, Alexandru Stanescu, Shashwat Gupta, Daniel Snchez, Nathan Beckmann