Small Transformers Compute Universal Metric Embeddings

14 September 2022

Papers citing "Small Transformers Compute Universal Metric Embeddings"

7 / 7 papers shown

Title
Deep Kalman Filters Can Filter Blanka Hovart Anastasis Kratsios Yannick Limmer Xuwei Yang 45 1 0 31 Dec 2024
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 28 14 0 24 Oct 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 59 23 0 02 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer Beatrice Acciaio Anastasis Kratsios G. Pammer OOD 39 20 0 31 Jan 2022
Universal Approximation Under Constraints is Possible with Transformers Anastasis Kratsios Behnoosh Zamanlooy Tianlin Liu Ivan Dokmanić 53 26 0 07 Oct 2021
Failures of model-dependent generalization bounds for least-norm interpolation Peter L. Bartlett Philip M. Long 87 29 0 16 Oct 2020
Variational Wasserstein Clustering Liang Mi Wen Zhang X. Gu Yalin Wang OT 48 42 0 23 Jun 2018