G-Invariant Representations using Coorbits: Bi-Lipschitz Properties
Advances in Computational Mathematics, 2026 · Citation
Publications
Also on Google Scholar.
Quantitative Bounds for Sorting-Based Permutation-Invariant Embeddings
IEEE Transactions on Information Theory (accepted), 2026 · Citation
An Approximation Theory Perspective on Machine Learning
Neural Networks (Elsevier), 2026 · Citation
Active Learning Classification from a Signal Separation Perspective
2025 International Conference on Sampling Theory and Applications (SampTA), Vienna, Austria, 2025 · Citation
Stability of sorting based embeddings
arXiv preprint, 2024 · Citation
G-Invariant Representations using Coorbits: Injectivity Properties
arXiv preprint, 2023 · Citation
Relationships between the Phase Retrieval Problem and Permutation Invariant Embeddings
2023 International Conference on Sampling Theory and Applications (SampTA), 2023 · Citation