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Neural signature kernels as infinite-width-depth-limits of controlled
  ResNets

Neural signature kernels as infinite-width-depth-limits of controlled ResNets

30 March 2023
Nicola Muca Cirone
M. Lemercier
C. Salvi
ArXivPDFHTML

Papers citing "Neural signature kernels as infinite-width-depth-limits of controlled ResNets"

15 / 15 papers shown
Title
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization
Nicola Muca Cirone
C. Salvi
52
1
0
01 Apr 2025
Variance Norms for Kernelized Anomaly Detection
Variance Norms for Kernelized Anomaly Detection
Thomas Cass
Lukas Gonon
Nikita Zozoulenko
32
0
0
16 Jul 2024
Universal randomised signatures for generative time series modelling
Universal randomised signatures for generative time series modelling
Francesca Biagini
Lukas Gonon
Niklas Walter
42
4
0
14 Jun 2024
Infinite Limits of Multi-head Transformer Dynamics
Infinite Limits of Multi-head Transformer Dynamics
Blake Bordelon
Hamza Tahir Chaudhry
C. Pehlevan
AI4CE
47
9
0
24 May 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough
  Signals
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
Christian Holberg
C. Salvi
28
1
0
22 May 2024
A High Order Solver for Signature Kernels
A High Order Solver for Signature Kernels
M. Lemercier
Terry Lyons
25
3
0
01 Apr 2024
Theoretical Foundations of Deep Selective State-Space Models
Theoretical Foundations of Deep Selective State-Space Models
Nicola Muca Cirone
Antonio Orvieto
Benjamin Walker
C. Salvi
Terry Lyons
Mamba
59
25
0
29 Feb 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
44
8
0
28 Feb 2024
Dynamical Survival Analysis with Controlled Latent States
Dynamical Survival Analysis with Controlled Latent States
Linus Bleistein
Van-Tuan Nguyen
Adeline Fermanian
Agathe Guilloux
31
1
0
30 Jan 2024
Differential Equation Scaling Limits of Shaped and Unshaped Neural
  Networks
Differential Equation Scaling Limits of Shaped and Unshaped Neural Networks
Mufan Bill Li
Mihai Nica
22
2
0
18 Oct 2023
Commutative Width and Depth Scaling in Deep Neural Networks
Commutative Width and Depth Scaling in Deep Neural Networks
Soufiane Hayou
41
2
0
02 Oct 2023
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and
  Scaling Limit
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
Blake Bordelon
Lorenzo Noci
Mufan Bill Li
Boris Hanin
C. Pehlevan
27
23
0
28 Sep 2023
On the Generalization and Approximation Capacities of Neural Controlled
  Differential Equations
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
Linus Bleistein
Agathe Guilloux
40
1
0
26 May 2023
Non-adversarial training of Neural SDEs with signature kernel scores
Non-adversarial training of Neural SDEs with signature kernel scores
Zacharia Issa
Blanka Horvath
M. Lemercier
C. Salvi
AI4TS
37
24
0
25 May 2023
The Signature Kernel
The Signature Kernel
Darrick Lee
Harald Oberhauser
27
10
0
08 May 2023
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