Karim Lounici
8 papers · 2023–2025 · 4 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
(23)
👑
Triple Crown
🗃️
Keyword Collector
(52)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Mathematics
(3)
Deep Learning
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization
(2)
Data Science & Analytics
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Methods
(1)
Models
(1)
Keywords
infinitesimal generator
(2)
transfer operator
(2)
stochastic dynamical system
(2)
spectral decomposition
(2)
koopman operator
(2)
transfer learning
(1)
probabilistic modeling
(1)
representation learning
(1)
covariance estimation
(1)
robust statistics
(1)
outlier detection
(1)
reproducing kernel hilbert space
(1)
conditional probability
(1)
spectral analysis
(1)
statistical inference
(1)
state representation learning
(1)
low-rank representation
(1)
uncertainty quantification
(1)
spectral estimation
(1)
uniform bound
(1)
Papers
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
ICML 2025
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
ICML 2024
Learning invariant representations of time-homogeneous stochastic dynamical systems
ICLR 2024
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
NeurIPS 2024
Neural Conditional Probability for Uncertainty Quantification
NeurIPS 2024
Multi-task Representation Learning with Stochastic Linear Bandits
AISTATS 2023
Robust covariance estimation with missing values and cell-wise contamination
NeurIPS 2023
Sharp Spectral Rates for Koopman Operator Learning
NeurIPS 2023