Lars Schmidt-Thieme
9 papers · 2016–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (9) π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(24)
π
Conference Polyglot
(6)
π
Grand Slam
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(52)
Conferences
AAAI (4)
COLING (1)
ICLR (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(2)
missing value
(2)
time series forecasting
(2)
benchmark evaluation
(1)
matrix factorization
(1)
natural language processing
(1)
computer vision
(1)
constraint optimization
(1)
attention mechanism
(1)
cross-domain learning
(1)
data annotation
(1)
supervised learning
(1)
deep clustering
(1)
weak supervision
(1)
multivariate time series
(1)
hyperparameter optimization
(1)
distributional semantics
(1)
support vector machine
(1)
bipartite graph
(1)
transfer learning
(1)
Papers
Motif-aware Graph Neural Networks for Networked Time Series Imputation
AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
ICLR 2025
A Cross-Domain Benchmark for Active Learning
NIPS 2024
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
AAAI 2024
Neural Capacitated Clustering
IJCAI 2023
Zero-shot AutoML with Pretrained Models
ICML 2022
Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning
AAAI 2021
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF
COLING 2016