Silas Alberti

According to our database, Silas Alberti authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Expected Reward Prediction, with Applications to Model Routing.

Kenan Hasanaliyev, Silas Alberti, Jenny Hamer, Dheeraj Rajagopal, Kevin Robinson, Jasper Snoek, Victor Veitch, Alexander Nicholas D'Amour

CoRR, March, 2026

2025

Kevin: Multi-Turn RL for Generating CUDA Kernels.

Carlo Baronio, Pietro Marsella, Ben Pan, Simon Guo, Silas Alberti

CoRR, July, 2025

Data Unlearning in Diffusion Models.

Silas Alberti, Kenan Hasanaliyev, Manav Shah, Stefano Ermon

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs.

Alexander von Recum, Christoph Schnabl, Gabor Hollbeck, Silas Alberti, Philip Blinde, Marvin Von Hagen

CoRR, 2024

Simple linear attention language models balance the recall-throughput tradeoff.

Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré

CoRR, 2024

Simple linear attention language models balance the recall-throughput tradeoff.

Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Ré

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Black-Box Access is Insufficient for Rigorous AI Audits.

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

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

PIGEON: Predicting Image Geolocations.

Lukas Haas, Michal Skreta, Silas Alberti, Chelsea Finn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SuperHF: Supervised Iterative Learning from Human Feedback.

Gabriel Mukobi, Peter Chatain, Su Fong, Robert Windesheim, Gitta Kutyniok, Kush Bhatia, Silas Alberti

CoRR, 2023

PIGEON: Predicting Image Geolocations.

Lukas Haas, Michal Skreta, Silas Alberti

CoRR, 2023

Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization.

Lukas Haas, Silas Alberti, Michal Skreta

CoRR, 2023

Sumformer: Universal Approximation for Efficient Transformers.

Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok

Proceedings of the Topological, 2023