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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
103*2021
Non-Euclidean Universal Approximation
A Kratsios, E Bilokopytov
Advances in Neural Information Processing Systems 33, 10635--10646, 2020
672020
Universal Approximation Theorems for Differentiable Geometric Deep Learning
A Kratsios, L Papon
Journal of Machine Learning Research 23 (196), 1-73, 2022
37*2022
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
362021
Designing Universal Causal Deep Learning Models: The Geometric (Hyper) Transformer
B Acciaio, A Kratsios, G Pammer
Mathematical Finance, 2023
28*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
21*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
192022
Deep Arbitrage-Free Learning in a Generalized HJM Framework via Arbitrage-Regularization
CH Anastasis Kratsios
Risks 2020 8 (2), 40, 2020
19*2020
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
122022
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
11*2023
Learning Sub-Patterns in Piece-Wise Continuous Functions
A Kratsios, B Zamanlooy
Neurocomputing 480 (10.1016/j.neucom.2022.01), 192-211, 2022
112022
Small Transformers Compute Universal Metric Embeddings
A Kratsios, V Debarnot, I Dokmanić
Journal of Machine Learning Research (JMLR), 2023
102023
Instance-dependent generalization bounds via optimal transport
S Hou, P Kassraie, A Kratsios, A Krause, J Rothfuss
Journal of Machine Learning Research, 2023
82023
Universal Regular Conditional Distributions via Probabilistic Transformers
A Kratsios
Constructive Approximation 57 (3), 1145-1212, 2023
7*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
7*2022
A theoretical analysis of the test error of finite-rank kernel ridge regression
TS Cheng, A Lucchi, A Kratsios, I Dokmanić, D Belius
Advances in Neural Information Processing Systems 36, 2024
52024
Optimizing Optimizers: Regret-optimal gradient descent algorithms
P Casgrain, A Kratsios
Conference on Learning Theory (COLT) 34, 2021
42021
The entropic measure transform
R Wang, C Hyndman, A Kratsios
The Canadian Journal of Statistics 48, 97-129, 2020
32020
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
TS Cheng, A Lucchi, A Kratsios, D Belius
arXiv preprint arXiv:2402.01297, 2024
22024
Deep Kalman Filters Can Filter
B Hovart, A Kratsios, Y Limmer, X Yang
arXiv preprint arXiv:2310.19603, 2023
12023
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Articles 1–20