Valentin Khrulkov
14 papers · 2018–2023 · 7 venues · across top CS/AI venues
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(4)
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(4)
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tensor decomposition
(3)
generative adversarial network
(3)
recurrent neural network
(2)
image classification
(2)
latent space
(2)
metric learning
(2)
diffusion model
(2)
optimal transport
(1)
image segmentation
(1)
representation learning
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human perception
(1)
image retrieval
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natural language processing
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geometric analysis
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feature extraction
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Papers
Understanding DDPM Latent Codes Through Optimal Transport
ICLR 2023
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
CVPR 2022
Label-Efficient Semantic Segmentation with Diffusion Models
ICLR 2022
Functional Space Analysis of Local GAN Convergence
ICML 2021
Latent Transformations via NeuralODEs for GAN-Based Image Editing
ICCV 2021
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation
CVPR 2021
Revisiting Deep Learning Models for Tabular Data
NeurIPS 2021
Hyperbolic Image Embeddings
CVPR 2020
Tensorized Embedding Layers
EMNLP 2020
Tensor Train Decomposition on TensorFlow (T3F)
JMLR 2020
Generalized Tensor Models for Recurrent Neural Networks
ICLR 2019
Art of Singular Vectors and Universal Adversarial Perturbations
CVPR 2018
Expressive power of recurrent neural networks
ICLR 2018
Geometry Score: A Method For Comparing Generative Adversarial Networks
ICML 2018