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Small Transformers Compute Universal Metric Embeddings

Small Transformers Compute Universal Metric Embeddings

14 September 2022
Anastasis Kratsios
Valentin Debarnot
Ivan Dokmanić
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Papers citing "Small Transformers Compute Universal Metric Embeddings"

6 / 6 papers shown
Title
Deep Kalman Filters Can Filter
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
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Luca Galimberti
Anastasis Kratsios
Giulia Livieri
OOD
13
14
0
24 Oct 2022
Heterogeneous manifolds for curvature-aware graph embedding
Heterogeneous manifolds for curvature-aware graph embedding
Francesco Di Giovanni
Giulia Luise
M. Bronstein
49
23
0
02 Feb 2022
Universal Approximation Under Constraints is Possible with Transformers
Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios
Behnoosh Zamanlooy
Tianlin Liu
Ivan Dokmanić
48
26
0
07 Oct 2021
Failures of model-dependent generalization bounds for least-norm
  interpolation
Failures of model-dependent generalization bounds for least-norm interpolation
Peter L. Bartlett
Philip M. Long
78
29
0
16 Oct 2020
Variational Wasserstein Clustering
Variational Wasserstein Clustering
Liang Mi
Wen Zhang
X. Gu
Yalin Wang
OT
48
42
0
23 Jun 2018
1