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Anastasis Kratsios
Title
Cited by
Cited by
Year
The Universal Approximation Property
A Kratsios
Annals of Mathematics and Artificial Intelligence, 2021
91*2021
Non-Euclidean Universal Approximation
A Kratsios, E Bilokopytov
Advances in Neural Information Processing Systems 33, 10635--10646, 2020
572020
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
292021
Universal Approximation Theorems for Differentiable Geometric Deep Learning
A Kratsios, L Papon
Journal of Machine Learning Research 23 (196), 1-73, 2022
21*2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper) Transformer
B Acciaio, A Kratsios, G Pammer
Mathematical Finance, 2023
18*2023
Deep Arbitrage-Free Learning in a Generalized HJM Framework via Arbitrage-Regularization
CH Anastasis Kratsios
Risks 2020 8 (2), 40, 2020
18*2020
Universal Approximation Under Constraints is Possible with Transformers
A Kratsios, B Zamanlooy, I Dokmanić, T Liu
International Conference on Learning Representations (ICLR) 10, 2022
172022
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
9*2023
Learning Sub-Patterns in Piece-Wise Continuous Functions
A Kratsios, B Zamanlooy
Neurocomputing 480 (10.1016/j.neucom.2022.01), 192-211, 2022
72022
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation
JA Lara Benitez, T Furuya, F Faucher, A Kratsios, X Tricoche, ...
ArXiV, 2301.11509v3, 2023
6*2023
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
6*2022
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
52022
Universal Regular Conditional Distributions via Probabilistic Transformers
A Kratsios
Constructive Approximation 57 (3), 1145-1212, 2023
4*2023
Small Transformers Compute Universal Metric Embeddings
A Kratsios, V Debarnot, I Dokmanić
Journal of Machine Learning Research (JMLR), 2023
4*2023
Instance-dependent generalization bounds via optimal transport
S Hou, P Kassraie, A Kratsios, J Rothfuss, A Krause
arXiv preprint arXiv:2211.01258, 2022
32022
The entropic measure transform
R Wang, C Hyndman, A Kratsios
The Canadian Journal of Statistics 48, 97-129, 2020
32020
An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning
A Kratsios, C Liu, M Lassas, MV de Hoop, I Dokmanić
1*2023
Optimizing Optimizers: Regret-optimal gradient descent algorithms
P Casgrain, A Kratsios
Conference on Learning Theory (COLT) 34, 2021
12021
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing
X Yang, A Kratsios, F Krach, M Grasselli, A Lucchi
arXiv preprint arXiv:2309.04557, 2023
2023
Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures
A Kratsios, R Hong, HSO Borde
arXiv preprint arXiv:2308.09250, 2023
2023
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Articles 1–20