Cristopher Salvi
12 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (6) π Cross-Pollinator (14)
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Taxonomy Completionist
(21)
π
Interdisciplinary Bridge
π
Conference Polyglot
(4)
π
Keyword Champion
(3)
π
Century Club
(12)
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Trend Setter
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(53)
Conferences
NIPS (6)
ICML (3)
ICLR (2)
AISTATS (1)
Top co-authors
Keywords
signature kernel
(5)
rough path theory
(3)
neural network
(3)
time series
(3)
sequential datum
(3)
stochastic process
(2)
gaussian process
(2)
controlled differential equation
(2)
kernel methods
(2)
generative model
(2)
deep learning
(1)
reservoir computing
(1)
maximum mean discrepancy
(1)
expressive power
(1)
adversarial training
(1)
gaussian processes
(1)
sparse approximation
(1)
data stream
(1)
in-context learning
(1)
state space model
(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
NIPS 2024
Theoretical Foundations of Deep Selective State-Space Models
NIPS 2024
Non-adversarial training of Neural SDEs with signature kernel scores
NIPS 2023
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
ICML 2023
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
NIPS 2022
Distribution Regression for Sequential Data
AISTATS 2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
NIPS 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
ICML 2021
Neural Rough Differential Equations for Long Time Series
ICML 2021
Deep Signature Transforms
NIPS 2019