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I. Oseledets

99 papers hereh-index 12683 citations130 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author39
  • last author56

Across the 95 of 99 papers where every author was matched, so the position is known.

fields
  • cs.LG32
  • cs.CL21
  • cs.CV15
  • cs.AI7
  • math.NA6
  • cs.NE3
same name
  • I. Oseledets — 160 papers, h 51
  • I. Oseledets — 4 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedCLEAR: Character Unlearning in Textual and Visual Modalities

4 citations · 28 across the 86 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023

TERM Model: Tensor Ring Mixture Model for Density Estimation

Ruituo Wu, Jiani Liu, Ce Zhu +3

Efficient probability density estimation is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concer…

cs.LG2023

Run LoRA Run: Faster and Lighter LoRA Implementations

Daria Cherniuk, Aleksandr Mikhalev, Ivan Oseledets

LoRA is a technique that reduces the number of trainable parameters in a neural network by introducing low-rank adapters to linear layers. This technique is used both for fine-tuni…

cs.CL2023★ 1 cited

The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models

Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova +3

In this study, we present an investigation into the anisotropy dynamics and intrinsic dimension of embeddings in transformer architectures, focusing on the dichotomy between encode…

cs.RO2023

Memory-efficient particle filter recurrent neural network for object localization

Roman Korkin, Ivan Oseledets, Aleksandr Katrutsa

This study proposes a novel memory-efficient recurrent neural network (RNN) architecture specified to solve the object localization problem. This problem is to recover the object s…

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