Mikkel N. Schmidt
6 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🐝
Cross-Pollinator
(13)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(14)
Conferences
AISTATS (1)
CVPR (1)
ICLR (1)
ICML (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(1)
generative modeling
(1)
variational inference
(1)
probabilistic inference
(1)
distributed optimization
(1)
variance reduction
(1)
generative model
(1)
diffusion model
(1)
convergence rate
(1)
data heterogeneity
(1)
3d generation
(1)
molecule generation
(1)
model drift
(1)
equivariant neural network
(1)
equivariant diffusion
(1)
rigid transformation
(1)
discrete domain
(1)
tensor train
(1)
3d molecular structure
(1)
matrix product state
(1)
Papers
On Local Posterior Structure in Deep Ensembles
AISTATS 2025
Kinetic Langevin Diffusion for Crystalline Materials Generation
ICML 2025
Equivariant Neural Diffusion for Molecule Generation
NIPS 2024
An improved analysis of per-sample and per-update clipping in federated learning
ICLR 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