Ivan Oseledets

papers

795

total citations

papers (12)

Hyperbolic Image Embeddings

CVPR 2020arXiv

364

citations

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

ECCV 2020arXiv

160

citations

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

CVPR 2022arXiv

151

citations

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

NEURIPS 2022arXiv

citations

PROTES: Probabilistic Optimization with Tensor Sampling

NEURIPS 2023arXiv

citations

Latent Transformations via NeuralODEs for GAN-Based Image Editing

ICCV 2021arXiv

citations

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

ICML 2024arXiv

citations

Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning

NEURIPS 2023

citations

Ivan Oseledets

papers (12)

Hyperbolic Image Embeddings

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

PROTES: Probabilistic Optimization with Tensor Sampling

Latent Transformations via NeuralODEs for GAN-Based Image Editing

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

Smoothed Embeddings for Certified Few-Shot Learning

Certification of Speaker Recognition Models to Additive Perturbations

Associative memory and dead neurons

Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning

papers (12)

Hyperbolic Image Embeddings

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

PROTES: Probabilistic Optimization with Tensor Sampling

Latent Transformations via NeuralODEs for GAN-Based Image Editing

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

Smoothed Embeddings for Certified Few-Shot Learning

Certification of Speaker Recognition Models to Additive Perturbations

Associative memory and dead neurons

Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning