Max Vladymyrov
13 papers · 2013–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Research topics
Machine Learning
(13)
Optimization & Theory Β· Machine Learning
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Mathematics & Optimization
(3)
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Optimization & Theory Β· Deep Learning
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(1)
Keywords
nonlinear embedding
(4)
dimensionality reduction
(3)
stochastic neighbor embedding
(2)
gradient descent
(2)
in-context learning
(2)
neural network
(2)
manifold learning
(1)
domain generalization
(1)
continual learning
(1)
neural architecture
(1)
low-rank approximation
(1)
nystrom method
(1)
hebbian learning
(1)
non-convex optimization
(1)
distribution shift
(1)
knowledge distillation
(1)
fast multipole method
(1)
singular value decomposition
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spectral clustering
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vision transformer
(1)
Papers
How new data permeates LLM knowledge and how to dilute it
ICLR 2025
Linear Transformers are Versatile In-Context Learners
NeurIPS 2024
Decentralized Learning With Multi-Headed Distillation
CVPR 2023
Transformers Learn In-Context by Gradient Descent
ICML 2023
Fine-Tuning Image Transformers Using Learnable Memory
CVPR 2022
GradMax: Growing Neural Networks using Gradient Information
ICLR 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Meta-Learning Bidirectional Update Rules
ICML 2021
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
NeurIPS 2019
The Variational Nystrom method for large-scale spectral problems
ICML 2016
A fast, universal algorithm to learn parametric nonlinear embeddings
NeurIPS 2015
Linear-time training of nonlinear low-dimensional embeddings
AISTATS 2014
Entropic Affinities: Properties and Efficient Numerical Computation
ICML 2013