| The Universal Approximation Property A Kratsios Annals of Mathematics and Artificial Intelligence, 2021 | 83* | 2021 |
| Non-Euclidean Universal Approximation A Kratsios, E Bilokopytov Advances in Neural Information Processing Systems 33, 10635--10646, 2020 | 48 | 2020 |
| Neu: A Meta-Algorithm for Universal UAP-Invariant Feature Representation A Kratsios, C Hyndman The Journal of Machine Learning Research 22 (1), 4102-4152, 2021 | 23 | 2021 |
| Universal Approximation Theorems for Differentiable Geometric Deep Learning A Kratsios, L Papon Journal of Machine Learning Research 23 (196), 1-73, 2022 | 17* | 2022 |
| Deep Arbitrage-Free Learning in a Generalized HJM Framework via Arbitrage-Regularization CH Anastasis Kratsios Risks 2020 8 (2), 40, 2020 | 17* | 2020 |
| Designing Universal Causal Deep Learning Models: The Geometric (Hyper) Transformer B Acciaio, A Kratsios, G Pammer Mathematical Finance, 2023 | 14* | 2023 |
| Universal Approximation Under Constraints is Possible with Transformers A Kratsios, B Zamanlooy, I Dokmanić, T Liu International Conference on Learning Representations (ICLR) 10, 2022 | 13 | 2022 |
| Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices JT C Herrera, F Krach, A Kratsios, P Ruyssen Transactions on Machine Learning Research (TMLR), 2023 | 8* | 2023 |
| Learning Sub-Patterns in Piece-Wise Continuous Functions A Kratsios, B Zamanlooy Neurocomputing 480 (10.1016/j.neucom.2022.01), 192-211, 2022 | 8 | 2022 |
| Do ReLU Networks Have An Edge When Approximating Compactly-Supported Functions? A Kratsios, B Zamanlooy Transactions on Machine Learning Research 1 (1), 1-21, 2022 | 5* | 2022 |
| Small Transformers Compute Universal Metric Embeddings ID A Kratsios, V Debarnot Journal of Machine Learning Research (JMLR), 2023 | 3* | 2023 |
| Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis L Galimberti, G Livieri, A Kratsios arXiv preprint arXiv:2210.13300, 2022 | 3 | 2022 |
| The entropic measure transform R Wang, C Hyndman, A Kratsios The Canadian Journal of Statistics 48, 97-129, 2020 | 3 | 2020 |
| Universal Regular Conditional Distributions via Probabilistic Transformers A Kratsios Constructive Approximation, 1-68, 2023 | 2 | 2023 |
| Instance-Dependent Generalization Bounds via Optimal Transport S Hou, P Kassraie, A Kratsios, J Rothfuss, A Krause arXiv preprint arXiv:2211.01258, 2022 | 1 | 2022 |
| Optimizing Optimizers: Regret-optimal gradient descent algorithms P Casgrain, A Kratsios Conference on Learning Theory (COLT) 34, 2021 | 1 | 2021 |
| A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators A Kratsios, C Liu, M Lassas, MV de Hoop, I Dokmanić arXiv preprint arXiv:2304.12231, 2023 | | 2023 |
| Generative Ornstein-Uhlenbeck Markets via Geometric Deep Learning A Kratsios, C Hyndman Geometric Science of Information (23), 2023 | | 2023 |
| SinkGAT: Doubly-Stochastic Graph Attention T Liu, C Shi, A Kratsios, I Dokmanic SLowDNN (Workshop on Seeking Low‑Dimensionality in Deep Neural Networks) 3, 2022 | | 2022 |
| Lower-Estimates on the Hochschild (Co)Homological Dimension of Commutative Algebras and Applications to Smooth Affine Schemes and Quasi-Free Algebras A Kratsios New Trends in Algebraic Geometry and Its Applications 9, 119, 2021 | | 2021 |
Cody HyndmanConcordia UniversityVerified email at concordia.ca
