Silas Alberti

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Approximation Methods

Iterative Learning

Top Venues

Publications

Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
Black-Box Access is Insufficient for Rigorous AI Audits. FAccT (2024)
Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
Black-Box Access is Insufficient for Rigorous AI Audits. CoRR (2024)
Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré
Simple linear attention language models balance the recall-throughput tradeoff. CoRR (2024)
Gabriel Mukobi, Peter Chatain, Su Fong, Robert Windesheim, Gitta Kutyniok, Kush Bhatia, Silas Alberti
SuperHF: Supervised Iterative Learning from Human Feedback. CoRR (2023)
Lukas Haas, Silas Alberti, Michal Skreta
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization. CoRR (2023)
Lukas Haas, Michal Skreta, Silas Alberti
PIGEON: Predicting Image Geolocations. CoRR (2023)
Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok
Sumformer: Universal Approximation for Efficient Transformers. CoRR (2023)
Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok
Sumformer: Universal Approximation for Efficient Transformers. TAG-ML (2023)