26.09.2024
Autoregressive Policy Optimization for Constrained Allocation Tasks more
04.07.2024
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images more
15.12.2023
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem more
24.10.2023
What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU more
16.10.2023
Process Mining Techniques for Collusion Detection in Online Exams more
19.07.2023
Connecting the Dots — Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering more
k-SubMix: Common Subspace Clustering on Mixed-Type Data more
14.07.2023
MapFormer: Boosting Change Detection by Using Pre-change Information more
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning more
07.07.2023
DEAR: Dynamic Electric Ambulance Redeployment more
05.06.2023
Multimodal Contrastive Transformer for Explainable Recommendation more
27.02.2023
Constrained Portfolio Management using Action Space Decomposition for Reinforcement Learning more
30.01.2023
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering more
09.12.2022
AutoGluon: Empowering (Multimodal) AutoML for the Next 10 Million Users more
05.12.2022
InstanceFormer: An online Video Instance Segmentation Framework more
11.10.2022
A Comparison of Ambulance Redeployment Systems on Real-World Data more
10.10.2022
Efficient On-Street Parking Sensor Placement more
Group Anomaly Detection for Spatio-Temporal Collective Behaviour Scenarios in Smart Cities more
22.09.2022
The working group gets a new dual leadership with Ute Schmid and Volker Tresp more
12.09.2022
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations more
Density-Based Clustering for Highly Varying Density more
Verips: Verified Pseudo-label Selection for Deep Active Learning more
25.07.2022
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection more
SEA: Graph Shell Attention in Graph Neural Networks 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
Query Embedding on Hyper-Relational Knowledge Graphs more
Künstliche Intelligenz - ein Ausblick auf künftige Entwicklungen more
Improving Scene Graph Classification by Exploiting Knowledge from Texts more
06.12.2021
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers more
Correcting Imprecise Object Locations for Training Object Detectors in Remote Sensing Applications more
08.11.2021
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs more
Improving Inductive Link Prediction Using Hyper-Relational Facts more
On the Generalization of Agricultural Drought Classification from Climate Data more
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting more
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework more
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models under a Unified Framework more
27.09.2021
LUCKe- Connecting Clustering and Correlation Clustering more
Implicit Hough Transform Neural Networks for Subspace Clustering more
SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size more
Active Learning for Argument Strength Estimation 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
