Follow
Anastasis Kratsios
Title
Cited by
Cited by
Year
The Universal Approximation Property
A Kratsios
Annals of Mathematics and Artificial Intelligence, 2021
95*2021
Non-Euclidean Universal Approximation
A Kratsios, E Bilokopytov
Advances in Neural Information Processing Systems 33, 10635--10646, 2020
612020
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
302021
Universal Approximation Theorems for Differentiable Geometric Deep Learning
A Kratsios, L Papon
Journal of Machine Learning Research 23 (196), 1-73, 2022
25*2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper) Transformer
B Acciaio, A Kratsios, G Pammer
Mathematical Finance, 2023
19*2023
Deep Arbitrage-Free Learning in a Generalized HJM Framework via Arbitrage-Regularization
CH Anastasis Kratsios
Risks 2020 8 (2), 40, 2020
19*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
10*2023
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
8*2023
Designing universal causal deep learning models: The case of infinite-dimensional dynamical systems from stochastic analysis
L Galimberti, A Kratsios, G Livieri
arXiv preprint arXiv:2210.13300, 2022
82022
Learning Sub-Patterns in Piece-Wise Continuous Functions
A Kratsios, B Zamanlooy
Neurocomputing 480 (10.1016/j.neucom.2022.01), 192-211, 2022
82022
Universal Regular Conditional Distributions via Probabilistic Transformers
A Kratsios
Constructive Approximation 57 (3), 1145-1212, 2023
7*2023
Small Transformers Compute Universal Metric Embeddings
A Kratsios, V Debarnot, I Dokmanić
Journal of Machine Learning Research (JMLR), 2023
72023
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
Instance-dependent generalization bounds via optimal transport
S Hou, P Kassraie, A Kratsios, A Krause, J Rothfuss
Journal of Machine Learning Research, 2023
52023
Optimizing Optimizers: Regret-optimal gradient descent algorithms
P Casgrain, A Kratsios
Conference on Learning Theory (COLT) 34, 2021
32021
The entropic measure transform
R Wang, C Hyndman, A Kratsios
The Canadian Journal of Statistics 48, 97-129, 2020
32020
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
TS Cheng, A Lucchi, I Dokmanić, A Kratsios, D Belius
arXiv preprint arXiv:2310.00987, 2023
12023
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
Deep Kalman Filters Can Filter
B Hovart, A Kratsios, Y Limmer, X Yang
arXiv preprint arXiv:2310.19603, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20