Cristopher Salvi

According to our database1, Cristopher Salvi authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph Expansions of Deep Neural Networks and their Universal Scaling Limits.
CoRR, 2024

SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings.
CoRR, 2024

Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals.
CoRR, 2024

Lecture notes on rough paths and applications to machine learning.
CoRR, 2024

A path-dependent PDE solver based on signature kernels.
CoRR, 2024

Theoretical Foundations of Deep Selective State-Space Models.
CoRR, 2024

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes.
CoRR, 2024

2023
A Neural RDE approach for continuous-time non-Markovian stochastic control problems.
CoRR, 2023

New directions in the applications of rough path theory.
CoRR, 2023

Non-adversarial training of Neural SDEs with signature kernel scores.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural signature kernels as infinite-width-depth-limits of controlled ResNets.
Proceedings of the International Conference on Machine Learning, 2023

2022
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
The Signature Kernel Is the Solution of a Goursat PDE.
SIAM J. Math. Data Sci., 2021

Neural Stochastic Partial Differential Equations.
CoRR, 2021

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Rough Differential Equations for Long Time Series.
Proceedings of the 38th International Conference on Machine Learning, 2021

SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

Distribution Regression for Sequential Data.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Neural CDEs for Long Time Series via the Log-ODE Method.
CoRR, 2020

Computing the full signature kernel as the solution of a Goursat problem.
CoRR, 2020

Distribution Regression for Continuous-Time Processes via the Expected Signature.
CoRR, 2020

Sig-SDEs model for quantitative finance.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019
Deep Signatures.
CoRR, 2019

Deep Signature Transforms.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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