25.07.2022
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection more
11.07.2022
SCAR - Spectral Clustering Accelerated and Robustified more
27.06.2022
Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations more
Reinforcement Learning for Multi-Agent Stochastic Resource Collection more
25.04.2022
An Open Challenge for Inductive Link Prediction on Knowledge Graphs more
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) more
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs more
04.04.2022
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion more
14.03.2022
Machine learning for managing structured and semi-structured data more
21.02.2022
Over-optimistic evaluation and reporting of novel cluster algorithms: An illustrative study more
24.01.2022
Künstliche Intelligenz - ein Ausblick auf künftige Entwicklungen more
Improving Scene Graph Classification by Exploiting Knowledge from Texts more
Query Embedding on Hyper-Relational Knowledge Graphs more
06.12.2021
Correcting Imprecise Object Locations for Training Object Detectors in Remote Sensing Applications more
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers more
08.11.2021
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models under a Unified Framework more
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework more
On the Generalization of Agricultural Drought Classification from Climate Data more
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting more
Improving Inductive Link Prediction Using Hyper-Relational Facts more
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs more
27.09.2021
LUCKe- Connecting Clustering and Correlation Clustering more
Active Learning for Argument Strength Estimation more
Implicit Hough Transform Neural Networks for Subspace Clustering more
SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size more
30.08.2021
Prediction of soft proton intensities in the near-Earth space using machine learning more
26.07.2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification more
12.07.2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation more
28.06.2021
Query Embedding on Hyper-relational Knowledge Graphs more
14.06.2021
Compound Segmentation via Clustering on Mol2Vec-based Embeddings more
31.05.2021
30.05.2021
Our partner MTU Aero Engines AG in Munich is searching for you more
12.04.2021
Efficient Parking Search using Shared Fleet Data more
04.03.2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings more
02.03.2021
Technology pioneer: The Munich Center for Machine Learning and the Leibniz Supercomputing Center have installed a new data-processing architecture for AI research more
18.02.2021
Causal Inference under Networked Interference and Intervention Policy Enhancement more
28.01.2021
This year, the MCML will partake in the renowned Data Science for Social Good (DSSG) initiative more
21.01.2021
Cluster Flow — an Advanced Concept for Ensemble-Enabling, Interactive Clustering more
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs more
