Maud Lemercier
6 papers · 2021–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🏆
Keyword Champion
(3)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Models
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Methods
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
signature kernel
(4)
sequential data
(3)
neural network
(2)
gaussian process
(2)
stochastic process
(2)
time series
(2)
kernel methods
(2)
maximum mean discrepancy
(1)
kernel mean embedding
(1)
generative model
(1)
spectral method
(1)
partial differential equation
(1)
spatiotemporal dynamics
(1)
distribution regression
(1)
signature method
(1)
expected signature
(1)
scoring rule
(1)
neural stochastic differential equation
(1)
controlled differential equation
(1)
infinite-width limit
(1)
Papers
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
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
ICML 2021