Ildus Sadrtdinov

PhD student, Constructor University

Joined

January 2023

Names

Ildus Sadrtdinov (Preferred)

Emails

****@gmail.com (Confirmed)

****@hse.ru (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

PhD student

Constructor University (constuctor.university)

2024 – Present

Researcher

HSE University (hse.ru)

2021 – 2023

MS student

HSE University (hse.ru)

2021 – 2023

Undergrad student

HSE University (hse.ru)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Dmitry Vetrov

2024 – Present

Expertise

No areas of expertise listed

Publications

Shared Gradient Discovery and Superposition: Learning Dynamics of Generalization in LLMs
Andrei Mircea, Ildus Sadrtdinov, Irina Rish, Ekaterina Lobacheva
- Sci4DL 2026
- Readers: Everyone
Where Do Large Learning Rates Lead Us? A Feature Learning Perspective
Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov
- HiLD at ICML 2024 Poster
- Readers: Everyone
Where Do Large Learning Rates Lead Us?
Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov
- NeurIPS 2024 poster
- Readers: Everyone
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry P. Vetrov, Ekaterina Lobacheva
- NeurIPS 2023 poster
- Readers: Everyone
[Re] “Towards Understanding Grokking”
Alexander Shabalin, Ildus Sadrtdinov, Evgeniy Shabalin
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022 OutstandingPaperHonorableMention
- Readers: Everyone
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry P. Vetrov, Ekaterina Lobacheva
- 2023 (modified: 29 Mar 2023)
- CoRR 2023
- Readers: Everyone
On the Memorization Properties of Contrastive Learning
Ildus Sadrtdinov, Nadezhda Chirkova, Ekaterina Lobacheva
- 2021 (modified: 29 Mar 2023)
- CoRR 2021
- Readers: Everyone

Ildus Sadrtdinov

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Shared Gradient Discovery and Superposition: Learning Dynamics of Generalization in LLMs

Where Do Large Learning Rates Lead Us? A Feature Learning Perspective

Where Do Large Learning Rates Lead Us?

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning

[Re] “Towards Understanding Grokking”

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning

On the Memorization Properties of Contrastive Learning

Co-Authors