Max Vladymyrov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | How new data permeates LLM knowledge and how to dilute it. | Chen Sun, Renat Aksitov, Andrey Zhmoginov, Nolan Andrew Miller, Max Vladymyrov, Ulrich Rueckert, Been Kim, Mark Sandler |
| 2023 | CVPR | Decentralized Learning with Multi-Headed Distillation. | Andrey Zhmoginov, Mark Sandler, Nolan Miller, Gus Kristiansen, Max Vladymyrov |
| 2023 | ICML | Transformers Learn In-Context by Gradient Descent. | Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, Joo Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov |
| 2022 | CVPR | Fine-tuning Image Transformers using Learnable Memory. | Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Andrew Jackson |
| 2022 | ICLR | GradMax: Growing Neural Networks using Gradient Information. | Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov |
| 2021 | ICML | Meta-Learning Bidirectional Update Rules. | Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Tom Madams, Andrew Jackson, Blaise Agera y Arcas |
| 2017 | IJCNN | Fast, accurate spectral clustering using locally linear landmarks. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2016 | ICML | The Variational Nystrom method for large-scale spectral problems. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2014 | AISTATS | Linear-time training of nonlinear low-dimensional embeddings. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2013 | ICML | Entropic Affinities: Properties and Efficient Numerical Computation. | Max Vladymyrov, Miguel . Carreira-Perpin |
| 2012 | ICML | Fast Training of Nonlinear Embedding Algorithms. | Max Vladymyrov, Miguel . Carreira-Perpin |