Alexander Lyzhov

According to our database, Alexander Lyzhov authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

CoRR, 2023

2021

Normative Disagreement as a Challenge for Cooperative AI.

Julian Stastny, Maxime Riché, Alexander Lyzhov, Johannes Treutlein, Allan Dafoe, Jesse Clifton

CoRR, 2021

2020

Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation.

Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry Molchanov, Dmitry P. Vetrov

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning.

Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov

Proceedings of the 8th International Conference on Learning Representations, 2020