Lars Schmidt-Thieme
9 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24)
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Grand Slam
🏆
Keyword Champion
(2)
🔥
Unstoppable · Bronze
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Keyword Collector
(55)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Data Science & Analytics
(3)
Learning Types · Deep Learning
(3)
Methods
(3)
Architectures
(2)
Bayesian & Probabilistic
(2)
Models
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Application Areas
(1)
Foundations
(1)
Keywords
time series forecasting
(3)
missing value
(3)
graph neural network
(2)
irregularly sampled time series
(2)
matrix factorization
(1)
natural language processing
(1)
benchmark evaluation
(1)
attention mechanism
(1)
computer vision
(1)
cross-domain learning
(1)
data annotation
(1)
supervised learning
(1)
deep clustering
(1)
weak supervision
(1)
distributional semantics
(1)
constraint optimization
(1)
multivariate time series
(1)
support vector machine
(1)
bipartite graph
(1)
hyperparameter optimization
(1)
Papers
Motif-aware Graph Neural Networks for Networked Time Series Imputation
AAAI 2025
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
ICLR 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
AAAI 2025
A Cross-Domain Benchmark for Active Learning
NeurIPS 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