Valentin G. Stanev

According to our database, Valentin G. Stanev authored at least 9 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rapid analysis of point-contact Andreev reflection spectra via machine learning with adaptive data augmentation.

Dongik Lee, Valentin G. Stanev, Xiaohang Zhang, Mijeong Kang, Ichiro Takeuchi, Seunghun Lee

CoRR, March, 2025

Topic Modeling and Link-Prediction for Material Property Discovery.

Ryan C. Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov

Proceedings of the 2025 ACM Symposium on Document Engineering, 2025

2024

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning.

Manish Bhattarai, Ryan Barron, Maksim Ekin Eren, Minh Vu, Ves Grantcharov, Ismael Boureima, Valentin G. Stanev, Cynthia Matuszek, Vladimir I. Valtchinov, Kim Ø. Rasmussen, Boian S. Alexandrov

CoRR, 2024

2021

Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization.

Raviteja Vangara, Manish Bhattarai, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Valentin G. Stanev, Boian S. Alexandrov

IEEE Access, 2021

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization.

Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2020

Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling.

Raviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers.

Boian S. Alexandrov, Valentin G. Stanev, Velimir V. Vesselinov, Kim Ø. Rasmussen

Stat. Anal. Data Min., 2019

2016

Machine learning approach for identification of release sources in advection-diffusion systems.

Valentin G. Stanev, Filip L. Iliev, Velimir V. Vesselinov, Boian S. Alexandrov

CoRR, 2016

Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering.

Filip L. Iliev, Valentin G. Stanev, Velimir V. Vesselinov, Boian S. Alexandrov

CoRR, 2016