Scholar
Mikkel N. Schmidt
Google Scholar ID: IjF4ExkAAAAJ
Technical University of Denmark
Machine learning
Source separation
Graph Neural Networks
Bayesian ML
Molecules and Materials
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Citations & Impact
All-time
Citations
1,857
H-index
21
i10-index
38
Publications
20
Co-authors
87
list available
Publications
10 items
Atom-JEPA: Joint-Embedding Predictive Architecture for 3D Atomistic Systems
2026
Cited
0
Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
2026
Cited
0
Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening
2026
Cited
0
Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings
2026
Cited
0
Practical Deep Heteroskedastic Regression
2026
Cited
0
On Joint Regularization and Calibration in Deep Ensembles
Trans. Mach. Learn. Res. · 2025
Cited
0
Kinetic Langevin Diffusion for Crystalline Materials Generation
2025
Cited
0
Mode Mismatch Mitigation in Gaussian-Modulated CV-QKD
2025
Cited
0
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Co-authors
6 total
Morten Mørup
Section for Cognitive Systems, Technical University of Denmark
Tommy Sonne Alstrøm
Technical University of Denmark
Lars Kai Hansen
Professor, Cognitive Systems, DTU Compute, Technical University of Denmark
Ole Winther
Biology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of Denmark
Darko Zibar
Professor, Group leader Machine Learning in Photonic Systems,Technical University of Denmark
Aki Vehtari
Professor, Aalto University
