Rayna Andreeva

According to our database, Rayna Andreeva authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

Neural collapse in the orthoplex regime.

James Alcala, Rayna Andreeva, Vladimir A. Kobzar, Dustin G. Mixon, Sanghoon Na, Shashank Sule, Yangxinyu Xie

CoRR, March, 2026

2025

Fractal dimensions of complex networks: advocating for a topological approach.

Rayna Andreeva, Haydeé Contreras-Peruyero, Sanjukta Krishnagopal, Nina Otter, Maria Antonietta Pascali, Elizabeth Thompson

CoRR, June, 2025

Approximating Metric Magnitude of Point Sets.

Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Metric Space Magnitude for Evaluating the Diversity of Latent Representations.

Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms.

Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Metric Space Magnitude for Evaluating Unsupervised Representation Learning.

Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck

CoRR, 2023

Accelerated Shapley Value Approximation for Data Evaluation.

Lauren Watson, Zeno Kujawa, Rayna Andreeva, Hao-Tsung Yang, Tariq Elahi, Rik Sarkar

CoRR, 2023

Machine learning and Topological data analysis identify unique features of human papillae in 3D scans.

Rayna Andreeva, Anwesha Sarkar, Rik Sarkar

CoRR, 2023

Metric Space Magnitude and Generalisation in Neural Networks.

Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar

Proceedings of the Topological, 2023

2022

Differentially Private Shapley Values for Data Evaluation.

Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar

CoRR, 2022

2021

Euler Characteristic Surfaces.

Gabriele Beltramo, Rayna Andreeva, Ylenia Giarratano, Miguel O. Bernabeu, Rik Sarkar, Primoz Skraba

CoRR, 2021

Topological Detection of Alzheimer's Disease Using Betti Curves.

Ameer Saadat-Yazdi, Rayna Andreeva, Rik Sarkar

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

2020

A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA).

Ylenia Giarratano, Alisa Pavel, Jie Lian, Rayna Andreeva, Alessandro Fontanella, Rik Sarkar, Laura J. Reid, Shareen Forbes, Dan Pugh, Tariq E. Farrah, Neeraj Dhaun, Baljean Dhillon, Thomas J. MacGillivray, Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

DR Detection Using Optical Coherence Tomography Angiography (OCTA): A Transfer Learning Approach with Robustness Analysis.

Rayna Andreeva, Alessandro Fontanella, Ylenia Giarratano, Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020