James Foster
5 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Architectures
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Methods
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
time series
(3)
stochastic differential equation
(2)
neural differential equation
(2)
controlled differential equation
(2)
brownian motion
(2)
variational autoencoder
(1)
generative adversarial network
(1)
rough path theory
(1)
adjoint method
(1)
irregular time series
(1)
continuous-time model
(1)
irregular sampling
(1)
bayesian logistic regression
(1)
neural stochastic differential equation
(1)
neural controlled differential equation
(1)
wasserstein gan
(1)
rough differential equation
(1)
path representation
(1)
neural network
(1)
underdamped langevin diffusion
(1)
Papers
Underdamped Langevin MCMC with third order convergence
JMLR 2026
Efficient and Accurate Gradients for Neural SDEs
NeurIPS 2021
Neural Rough Differential Equations for Long Time Series
ICML 2021
Neural SDEs as Infinite-Dimensional GANs
ICML 2021
Neural Controlled Differential Equations for Irregular Time Series
NeurIPS 2020