Mikkel N. Schmidt
- Bayesian Community Detection
2012/04/17 by Morten Mørup, Mikkel N. Schmidt · 5 citations
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Stochastic processes and statistical mechanics
- Calibrated Uncertainty for Molecular Property Prediction using Ensembles\n of Message Passing Neural Networks
2021/07/13 by Jonas Busk, Busk, Jonas, Peter Bjørn Jørgensen +9 · 4 citations
Chemistry · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #History and advancements in chemistry #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Neural Message Passing with Edge Updates for Predicting Properties of\n Molecules and Materials
2018/06/08 by Peter Bjørn Jørgensen, Jørgensen, Peter Bjørn, Karsten W. Jacobsen +3 · 3 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces
2023/05/10 by Jonas Busk, Busk, Jonas, Mikkel N. Schmidt +7 · 3 citations
Computer Science · Engineering · Materials Science · #Advanced Graph Neural Networks #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
2023/06/22 by Bo Li, Li, Bo, Yasin Esfandiari +7 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Completely random measures for modelling block-structured networks
2015/07/10 by Tue Herlau, Mikkel N. Schmidt, Herlau, Tue +3 · 1 citation
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Opinion Dynamics and Social Influence #Stochastic processes and statistical mechanics
- FreqRISE: Explaining time series using frequency masking
2024/06/19 by Thea Brüsch, Kristoffer Wickstrøm, Brüsch, Thea +7 · 1 citation
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
- Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
2026/07/30 by Rasmus Tirsgaard, Laurits Fredsgaard, Marisa Wodrich +2
Computer Science · #cs.LG