Andrey Malinin

Researcher, Isomorphic Labs

Joined

September 2018

Names

Andrey Malinin (Preferred)

Emails

****@cam.ac.uk (Confirmed)

****@yandex-team.ru (Confirmed)

****@malinin.io (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

Isomorphic Labs (google.com)

2023 – Present

Principal Researcher

Yandex (yandex.ru)

2019 – 2023

PhD student

University of Cambridge (cam.ac.uk)

2014 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Mark Gales

2014 – 2018

Expertise

Uncertainty Estimation

Ensemble Methods

Bayesian Methods

Anomaly detection

2018 – Present

Publications

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
- NeurIPS 2023 poster
- Readers: Everyone
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Andrey Malinin, andreas athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Revisiting Uncertainty Estimation for Node Classification: New Benchmark and Insights
Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
Andrey Malinin, Neil Band, Yarin Gal, Mark Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel
- Published: 11 Oct 2021, Last Modified: 12 Oct 2025
- NeurIPS 2021 Datasets and Benchmarks Track (Round 2)
- Readers: Everyone
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
Max Ryabinin, Andrey Malinin, Mark Gales
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin, Mark Gales
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Regression Prior Networks
Andrey Malinin, Sergey Chervontsev, Ivan Provilkov, Mark Gales
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Uncertainty in Gradient Boosting via Ensembles
Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Poster
- Readers: Everyone
Uncertainty in Structured Prediction.
Andrey Malinin, Mark J. F. Gales
- 2020 (modified: 09 Nov 2022)
- CoRR2020
- Readers: Everyone

View all 18 publications

Co-Authors

View all 50 co-authors