Maud Lemercier
6 papers · 2021–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (14) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(16)
π
Interdisciplinary Bridge
π
Keyword Champion
(3)
π
Trend Setter
Conferences
NIPS (3)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
signature kernel
(4)
sequential datum
(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
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
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
NIPS 2021
Distribution Regression for Sequential Data
AISTATS 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
ICML 2021