Cristopher Salvi
12 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (3)
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Keyword Collector
(59)
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Unstoppable · Bronze
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Century Club · Bronze
Venues
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Research topics
Machine Learning
(12)
Core Methods
(9)
Optimization & Theory
(9)
Deep Learning
(8)
Architectures
(6)
Artificial Intelligence
(4)
Models
(4)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Optimization
(2)
Data Science & Analytics
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
signature kernel
(6)
rough path theory
(3)
neural network
(3)
time series
(3)
stochastic process
(3)
sequential data
(3)
gaussian process
(2)
generative model
(2)
controlled differential equation
(2)
kernel methods
(2)
stochastic differential equation
(2)
causal discovery
(2)
time series generation
(2)
expressive power
(1)
maximum mean discrepancy
(1)
deep learning
(1)
reservoir computing
(1)
adversarial training
(1)
gaussian processes
(1)
sparse approximation
(1)
Papers
SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
ICLR 2025
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
ICLR 2025
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
NeurIPS 2024
Theoretical Foundations of Deep Selective State-Space Models
NeurIPS 2024
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
ICML 2023
Non-adversarial training of Neural SDEs with signature kernel scores
NeurIPS 2023
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
NeurIPS 2022
Distribution Regression for Sequential Data
AISTATS 2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
NeurIPS 2021
Neural Rough Differential Equations for Long Time Series
ICML 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
ICML 2021
Deep Signature Transforms
NeurIPS 2019