Mikkel N. Schmidt
6 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Models
(3)
Optimization & Theory
(3)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Interdisciplinary
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Science
(1)
Keywords
federated learning
(2)
generative modeling
(1)
variational inference
(1)
probabilistic inference
(1)
uncertainty quantification
(1)
model calibration
(1)
distributed optimization
(1)
variance reduction
(1)
generative model
(1)
diffusion model
(1)
convergence guarantee
(1)
convergence rate
(1)
data heterogeneity
(1)
gradient clipping
(1)
3d generation
(1)
bayesian neural network
(1)
molecule generation
(1)
model drift
(1)
crystalline material
(1)
equivariant neural network
(1)
Papers
Kinetic Langevin Diffusion for Crystalline Materials Generation
ICML 2025
On Local Posterior Structure in Deep Ensembles
AISTATS 2025
An improved analysis of per-sample and per-update clipping in federated learning
ICLR 2024
Equivariant Neural Diffusion for Molecule Generation
NeurIPS 2024
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data
CVPR 2023
Matrix Product States for Inference in Discrete Probabilistic Models
JMLR 2021