
Revisiting Deep Learning Models for Tabular Data
The necessity of deep learning for tabular data is still an unanswered q...
read it

Disentangled Representations from NonDisentangled Models
Constructing disentangled representations is known to be a difficult tas...
read it

Functional Space Analysis of Local GAN Convergence
Recent work demonstrated the benefits of studying continuoustime dynami...
read it

Performance of Hyperbolic Geometry Models on TopN Recommendation Tasks
We introduce a simple autoencoder based on hyperbolic geometry for solvi...
read it

Sample Efficient Ensemble Learning with Catalyst.RL
We present Catalyst.RL, an opensource PyTorch framework for reproducibl...
read it

Universality Theorems for Generative Models
Despite the fact that generative models are extremely successful in prac...
read it

Hyperbolic Image Embeddings
Computer vision tasks such as image classification, image retrieval and ...
read it

Generalized Tensor Models for Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are very successful at solving challeng...
read it

Tensorized Embedding Layers for Efficient Model Compression
The embedding layers transforming input words into real vectors are the ...
read it

Geometry Score: A Method For Comparing Generative Adversarial Networks
One of the biggest challenges in the research of generative adversarial ...
read it

Tensor Train decomposition on TensorFlow (T3F)
Tensor Train decomposition is used across many branches of machine learn...
read it

Art of singular vectors and universal adversarial perturbations
Vulnerability of Deep Neural Networks (DNNs) to adversarial attacks has ...
read it

VicoGreengardFerrando quadratures in the tensor solver for integral equations
Convolution with Green's function of a differential operator appears in ...
read it
Valentin Khrulkov
is this you? claim profile