Designing Universal Causal Deep Learning Models: The Geometric
(Hyper)Transformer

Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer

31 January 2022

Beatrice Acciaio

Anastasis Kratsios

Papers citing "Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer"

16 / 16 papers shown

Title
Kolmogorov-Arnold Networks: Approximation and Learning Guarantees for Functions and their Derivatives Anastasis Kratsios Takashi Furuya 27 0 0 21 Apr 2025
Deep Kalman Filters Can Filter Blanka Hovart Anastasis Kratsios Yannick Limmer Xuwei Yang 45 1 0 31 Dec 2024
Neural Operators Can Play Dynamic Stackelberg Games Guillermo Alvarez Ibrahim Ekren Anastasis Kratsios Xuwei Yang 33 0 0 14 Nov 2024
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 46 0 0 25 Aug 2024
Neural networks in non-metric spaces Luca Galimberti 37 1 0 13 Jun 2024
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning Anastasis Kratsios Takashi Furuya Jose Antonio Lara Benitez Matti Lassas Maarten V. de Hoop 39 13 0 13 Apr 2024
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts Anastasis Kratsios Haitz Sáez de Ocáriz Borde Takashi Furuya Marc T. Law MoE 41 1 0 05 Feb 2024
Memory of recurrent networks: Do we compute it right? Giovanni Ballarin Lyudmila Grigoryeva Juan-Pablo Ortega 15 4 0 02 May 2023
A Brief Survey on the Approximation Theory for Sequence Modelling Hao Jiang Qianxiao Li Zhong Li Shida Wang AI4TS 25 12 0 27 Feb 2023
Generative Ornstein-Uhlenbeck Markets via Geometric Deep Learning Anastasis Kratsios Cody B. Hyndman 13 0 0 17 Feb 2023
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation Jose Antonio Lara Benitez Takashi Furuya F. Faucher Anastasis Kratsios X. Tricoche Maarten V. de Hoop 34 16 0 27 Jan 2023
Chaotic Hedging with Iterated Integrals and Neural Networks Ariel Neufeld Philipp Schmocker 23 10 0 21 Sep 2022
Small Transformers Compute Universal Metric Embeddings Anastasis Kratsios Valentin Debarnot Ivan Dokmanić 54 11 0 14 Sep 2022
Universal Approximation Under Constraints is Possible with Transformers Anastasis Kratsios Behnoosh Zamanlooy Tianlin Liu Ivan Dokmanić 51 26 0 07 Oct 2021
Universal Regular Conditional Distributions Anastasis Kratsios 13 3 0 17 May 2021
Optimal Stopping via Randomized Neural Networks Calypso Herrera Florian Krack P. Ruyssen Josef Teichmann 38 37 0 28 Apr 2021