Lars Schmidt-Thieme
90 publications
23 venues
H Index 29
Affiliation
University of Hildesheim, Institute of Computer Science, GermanyLinks
| Name | Venue | Year | citations |
|---|---|---|---|
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows.
|
AAAI | 2025 | 3 |
| TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression.
|
ECAI | 2025 | 0 |
| Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation.
|
ECML/PKDD | 2025 | 0 |
| Motif-aware Graph Neural Networks for Networked Time Series Imputation.
|
AAAI | 2025 | 0 |
| Attribute-Aware Sequential Recommendation Model for Used Car Auctions.
|
ECML/PKDD | 2025 | 0 |
| Moco: A Learnable Meta Optimizer for Combinatorial Optimization.
|
PAKDD | 2025 | 0 |
| Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs.
|
ICLR | 2025 | 0 |
| A Cross-Domain Benchmark for Active Learning.
|
NIPS/NeurIPS | 2024 | 9 |
| Multi-Behavioral Sequential Recommendation.
|
RecSys | 2024 | 7 |
| HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation.
|
PAKDD | 2024 | 5 |
| Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting.
|
ECML/PKDD | 2024 | 1 |
| GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.
|
AAAI | 2024 | 0 |
| Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting.
|
PAKDD | 2024 | 0 |
| Structure-aware decoupled imputation network for multivariate time series.
|
DMKD | 2024 | 0 |
| Forecasting Early with Meta Learning.
|
IJCNN | 2023 | 1 |
| Neural Capacitated Clustering.
|
IJCAI | 2023 | 1 |
| Deep Multi-Representation Model for Click-Through Rate Prediction.
|
IJCNN | 2023 | 0 |
| Few-Shot Human Motion Prediction for Heterogeneous Sensors.
|
PAKDD | 2023 | 0 |
| Context and Attribute-Aware Sequential Recommendation via Cross-Attention.
|
RecSys | 2022 | 86 |
| Attention, Filling in the Gaps for Generalization in Routing Problems.
|
ECML/PKDD | 2022 | 12 |
| Zero-shot AutoML with Pretrained Models.
|
ICML | 2022 | 16 |
| Open Set Recognition for Time Series Classification.
|
PAKDD | 2022 | 7 |
| Learning to Control Local Search for Combinatorial Optimization.
|
ECML/PKDD | 2022 | 21 |
| Few-Shot Forecasting of Time-Series with Heterogeneous Channels.
|
ECML/PKDD | 2022 | 14 |
| U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.
|
ECML/PKDD | 2022 | 0 |
| A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning.
|
SIGIR | 2021 | 11 |
| Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning.
|
AAAI | 2021 | 6 |
| Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets.
|
ECML/PKDD | 2021 | 7 |
| Dataset2Vec: learning dataset meta-features.
|
DMKD | 2021 | 0 |
| Self-supervised Learning for Semi-supervised Time Series Classification.
|
PAKDD | 2020 | 56 |
| MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems.
|
RecSys | 2020 | 13 |
| Automation of Leasing Vehicle Return Assessment Using Deep Learning Models.
|
ECML/PKDD | 2020 | 5 |
| Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD.
|
PAKDD | 2020 | 4 |
| HIDRA: Head Initialization across Dynamic targets for Robust Architectures.
|
SDM | 2020 | 0 |
| Attribute-aware non-linear co-embeddings of graph features.
|
RecSys | 2019 | 43 |
| Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings.
|
KDD | 2019 | 4 |
| A Hybrid Convolutional Approach for Parking Availability Prediction.
|
IJCNN | 2019 | 6 |
| A Deep Multi-task Approach for Residual Value Forecasting.
|
ECML/PKDD | 2019 | 5 |
| Towards Distributed Pairwise Ranking using Implicit Feedback.
|
SIGIR | 2018 | 2 |
| Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.
|
MLJ | 2018 | 0 |
| Personalized Deep Learning for Tag Recommendation.
|
PAKDD | 2017 | 66 |
| Automatic Frankensteining: Creating Complex Ensembles Autonomously.
|
SDM | 2017 | 33 |
| On Discovering the Number of Document Topics via Conceptual Latent Space.
|
CIKM | 2017 | 6 |
| Personalized Tag Recommendation for Images Using Deep Transfer Learning.
|
ECML/PKDD | 2017 | 32 |
| Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF.
|
COLING | 2016 | 1 |
| Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.
|
ECML/PKDD | 2016 | 48 |
| Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression.
|
CIKM | 2016 | 26 |
| Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.
|
ECML/PKDD | 2016 | 83 |
| Sequential Model-Free Hyperparameter Tuning.
|
ICDM | 2015 | 56 |
| Integration and Evaluation of a Matrix Factorization Sequencer in Large Commercial ITS.
|
AAAI | 2015 | 5 |
| Hyperparameter Optimization with Factorized Multilayer Perceptrons.
|
ECML/PKDD | 2015 | 50 |
| Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization.
|
ECML/PKDD | 2015 | 78 |
| Optimizing Multi-Relational Factorization Models for Multiple Target Relations.
|
CIKM | 2014 | 20 |
| Invariant time-series factorization.
|
DMKD | 2014 | 0 |
| Supervised Nonlinear Factorizations Excel In Semi-supervised Regression.
|
PAKDD | 2014 | 2 |
| Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification.
|
PAKDD | 2014 | 1 |
| Learning time-series shapelets.
|
KDD | 2014 | 477 |
| Real-time top-n recommendation in social streams.
|
RecSys | 2012 | 165 |
| Multi-relational matrix factorization using bayesian personalized ranking for social network data.
|
WSDM | 2012 | 196 |
| Exploiting the characteristics of matrix factorization for active learning in recommender systems.
|
RecSys | 2012 | 25 |
| What is happening right now ... that interests me?: online topic discovery and recommendation in twitter.
|
CIKM | 2012 | 27 |
| Invariant Time-Series Classification.
|
ECML/PKDD | 2012 | 18 |
| Classification of Sparse Time Series via Supervised Matrix Factorization.
|
AAAI | 2012 | 18 |
| INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification.
|
PAKDD | 2011 | 61 |
| A new evaluation measure for learning from imbalanced data.
|
IJCNN | 2011 | 22 |
| Fast context-aware recommendations with factorization machines.
|
SIGIR | 2011 | 620 |
| MyMediaLite: a free recommender system library.
|
RecSys | 2011 | 434 |
| Learning Attribute-to-Feature Mappings for Cold-Start Recommendations.
|
ICDM | 2010 | 319 |
| Workshop on user-centric evaluation of recommender systems and their interfaces.
|
RecSys | 2010 | 14 |
| Pairwise interaction tensor factorization for personalized tag recommendation.
|
WSDM | 2010 | 728 |
| Cost-sensitive learning methods for imbalanced data.
|
IJCNN | 2010 | 333 |
| Factorizing personalized Markov chains for next-basket recommendation.
|
WWW | 2010 | 2697 |
| Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems.
|
PAKDD | 2010 | 18 |
| Learning to Extract Relations for Relational Classification.
|
PAKDD | 2009 | 0 |
| Learning optimal ranking with tensor factorization for tag recommendation.
|
KDD | 2009 | 397 |
| BPR: Bayesian Personalized Ranking from Implicit Feedback.
|
UAI | 2009 | 6456 |
| Scaling Record Linkage to Non-uniform Distributed Class Sizes.
|
PAKDD | 2008 | 14 |
| Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference.
|
ICDM | 2008 | 6 |
| Folksonomy-Based Collabulary Learning.
|
ISWC | 2008 | 30 |
| Online-updating regularized kernel matrix factorization models for large-scale recommender systems.
|
RecSys | 2008 | 258 |
| Tag Recommendations in Folksonomies.
|
ECML/PKDD | 2007 | 608 |
| Relational Ensemble Classification.
|
ICDM | 2006 | 29 |
| Ideas and Improvements for Semantic Wikis.
|
ESWC | 2006 | 41 |
| Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics.
|
PAKDD | 2006 | 26 |
| Object Identification with Constraints.
|
ICDM | 2006 | 29 |
| The Relation of Closed Itemset Mining, Complete Pruning Strategies and Item Ordering in Apriori-Based FIM Algorithms.
|
ECML/PKDD | 2005 | 11 |
| Collaborative and Usage-Driven Evolution of Personal Ontologies.
|
ESWC | 2005 | 61 |
| Compound Classification Models for Recommender Systems.
|
ICDM | 2005 | 24 |
| Taxonomy-driven computation of product recommendations.
|
CIKM | 2004 | 235 |
| Mining Generalized Association Rules for Sequential and Path Data.
|
ICDM | 2001 | 26 |