Schmidt, Mikkel N.

14 publications

ICML 2025 Kinetic Langevin Diffusion for Crystalline Materials Generation François R J Cornet, Federico Bergamin, Arghya Bhowmik, Juan Maria Garcia-Lastra, Jes Frellsen, Mikkel N. Schmidt

ICLRW 2025 Kinetic Langevin Diffusion for Crystalline Materials Generation François R J Cornet, Federico Bergamin, Arghya Bhowmik, Juan Maria Garcia-Lastra, Jes Frellsen, Mikkel N. Schmidt

TMLR 2025 On Joint Regularization and Calibration in Deep Ensembles Laurits Fredsgaard, Mikkel N. Schmidt

AISTATS 2025 On Local Posterior Structure in Deep Ensembles Mikkel Jordahn, Jonas Vestergaard Jensen, Mikkel N. Schmidt, Michael Riis Andersen

ICLR 2024 An Improved Analysis of Per-Sample and Per-Update Clipping in Federated Learning Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U Stich

NeurIPSW 2024 Equivariant Conditional Diffusion Model for Exploring the Chemical Space Around Vaska’s Complex François R J Cornet, Pratham Deshmukh, Bardi Benediktsson, Mikkel N. Schmidt, Arghya Bhowmik

NeurIPS 2024 Equivariant Neural Diffusion for Molecule Generation François Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian A. Naesseth

ICMLW 2024 Equivariant Neural Diffusion for Molecule Generation François R J Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian A. Naesseth

TMLR 2024 Synthetic Data Shuffling Accelerates the Convergence of Federated Learning Under Data Heterogeneity Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U Stich

NeurIPSW 2023 Inverse-Design of Organometallic Catalysts with Guided Equivariant Diffusion François R J Cornet, Bardi Benediktsson, Bjarke Hastrup, Arghya Bhowmik, Mikkel N. Schmidt

CVPR 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich

JMLR 2021 Matrix Product States for Inference in Discrete Probabilistic Models Rasmus Bonnevie, Mikkel N. Schmidt

NeurIPS 2016 Completely Random Measures for Modelling Block-Structured Sparse Networks Tue Herlau, Mikkel N Schmidt, Morten Mørup

ICML 2009 Function Factorization Using Warped Gaussian Processes Mikkel N. Schmidt