Danila Sinopalnikov

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 5

Top Topics

Concept Hierarchy

Machine Learning

Top Venues

Publications

Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem
BOND: Aligning LLMs with Best-of-N Distillation. CoRR (2024)
Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. AAAI (2021)
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. ICLR (2020)
Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. CoRR (2020)
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. CoRR (2019)