Sravanthi Gurugubelli

According to our database, Sravanthi Gurugubelli authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

Topological Scattering over Product Cell Complexes.

Ayushman Raghuvanshi, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Gaussian Processes for Predicting Simplicial Closure.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms.

Hiren Madhu, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SaNN: Simple Yet Powerful Simplicial-aware Neural Networks.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Simplicial Complex Learning from Edge Flows via Sparse Clique Sampling.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 32nd European Signal Processing Conference, 2024

Variational Self-Supervised Learning on Simplicial Complexes.

Ayushman Raghuvanshi, Sravanthi Gurugubelli, Hiren Madhu, Sundeep Prabhakar Chepuri

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Gaussian Processes for Edge Flow Prediction with Active Learning.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Generative Models and Learning Algorithms for Core-Periphery Structured Graphs.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

CoRR, 2022

Learning Sparse Graphs with a Core-Periphery Structure.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the IEEE International Conference on Acoustics, 2022

Identifying Core-Periphery Structures Using Graph Neural Networks.

Rajat Kumar, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Learning Multi-layer Graphs and a Common Representation for Clustering.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Proceedings of the 29th European Signal Processing Conference, 2021

Learning a Partial Graph and the Nyström Extension for Spectral Clustering.

Sravanthi Gurugubelli, Sai Kiran Kadambari, Sundeep Prabhakar Chepuri

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Graph Learning for Clustering Multi-view Data.

Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

CoRR, 2020