Rayna Andreeva

17 papers A* 3Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural collapse in the orthoplex regime. CoRR James Alcala, Rayna Andreeva, Vladimir A. Kobzar, Dustin G. Mixon, Sanghoon Na, Shashank Sule, Yangxinyu Xie
2025	A*	`conf`	Approximating Metric Magnitude of Point Sets. AAAI Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar
2025	J	`jnl`	Fractal dimensions of complex networks: advocating for a topological approach. CoRR Rayna Andreeva, Haydeé Contreras-Peruyero, Sanjukta Krishnagopal, Nina Otter, Maria Antonietta Pascali, Elizabeth Thompson
2024	J	`jnl`	Approximating Metric Magnitude of Point Sets. CoRR Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar
2024	A*	`conf`	Metric Space Magnitude for Evaluating the Diversity of Latent Representations. NeurIPS Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
2024	A*	`conf`	Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. NeurIPS Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
2024	J	`jnl`	Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms. CoRR Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli
2023	J	`jnl`	Accelerated Shapley Value Approximation for Data Evaluation. CoRR Lauren Watson, Zeno Kujawa, Rayna Andreeva, Hao-Tsung Yang, Tariq Elahi, Rik Sarkar
2023	J	`jnl`	Machine learning and Topological data analysis identify unique features of human papillae in 3D scans. CoRR Rayna Andreeva, Anwesha Sarkar, Rik Sarkar
2023	—	`conf`	Metric Space Magnitude and Generalisation in Neural Networks. TAG-ML Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar
2023	J	`jnl`	Metric Space Magnitude and Generalisation in Neural Networks. CoRR Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar
2023	J	`jnl`	Metric Space Magnitude for Evaluating Unsupervised Representation Learning. CoRR Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
2022	J	`jnl`	Differentially Private Shapley Values for Data Evaluation. CoRR Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar
2021	J	`jnl`	Euler Characteristic Surfaces. CoRR Gabriele Beltramo, Rayna Andreeva, Ylenia Giarratano, Miguel O. Bernabeu, Rik Sarkar, Primoz Skraba
2021	—	`conf`	Topological Detection of Alzheimer's Disease Using Betti Curves. iMIMIC/TDA4MedicalData@MICCAI Ameer Saadat-Yazdi, Rayna Andreeva, Rik Sarkar
2020	—	`conf`	A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA). OMIA@MICCAI 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
2020	—	`conf`	DR Detection Using Optical Coherence Tomography Angiography (OCTA): A Transfer Learning Approach with Robustness Analysis. OMIA@MICCAI Rayna Andreeva, Alessandro Fontanella, Ylenia Giarratano, Miguel O. Bernabeu