Research output per year
Research output per year
Personal profile
Other information
Visiting scholar at Columbia University, 2007
Visiting postdoc at Cambridge University 2008-2009
Research areas
Statistical models are used in all areas of science to describe stochastic relations between variables. In statistical modeling, probability theory is used to describe the uncertaincy that is present due to inaccurate measurements, model mismatch, missing data, etc. The process of drawing conclusions based on statistical models is called statistical inference. The aim of my research is to develop novel statistical methodology, which includes:
- Formulating probabilistic models and devising procedures for computational inference, evaluation, and validation.
- Applying the developed methodology to solve problems in various application areas in science and industry.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Mikkel N. Schmidt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
-
End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems
Nielsen, S. F., Ros, F. D., Schmidt, M. N. & Zibar, D., 2025, (Accepted/In press) In: Journal of Lightwave Technology. 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile11 Downloads (Pure) -
Equivariant conditional diffusion model for exploring the chemical space around Vaska’s complex
Cornet, F., Deshmukh, P., Benediktsson, B., Schmidt, M. N. & Bhowmik, A., 2025, (Accepted/In press) Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024) - AI4Mat Workshop. 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile43 Downloads (Pure) -
An improved analysis of per-sample and per-update clipping in federated learning
Li, B., Jiang, X., Schmidt, M. N., Alstrøm, T. S. & Stich, S. U., 2024, Proceedings of the The Twelfth International Conference on Learning Representations, ICLR 2024. 51 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile72 Downloads (Pure) -
Equivariant Neural Diffusion for Molecule Generation
Cornet, F., Bartosh, G., Schmidt, M. N. & Naesseth, C. A., 2024, Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024). 32 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile180 Downloads (Pure) -
Modeling Human Responses by Ordinal Archetypal Analysis
Wedenborg, A. E. J., Harborg, M. A., Bigom, A., Elmgreen, O., Presutti, M., Raskov, A., Glückstad, F. K., Schmidt, M. & Møxrup, M., 2024, Proceedings of the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
Bayesian neural networks for molecular discovery
Wodrich, M. (PhD Student), Schmidt, M. N. (Main Supervisor) & Feragen, A. (Supervisor)
01/11/2024 → 31/10/2027
Project: PhD
-
Bayesian neural networks for molecular discovery
Tirsgaard, R. H. (PhD Student), Schmidt, M. N. (Main Supervisor) & Alstrøm, T. S. (Supervisor)
01/02/2024 → 31/01/2027
Project: PhD
-
Bayesian neural networks for molecular discovery
Jensen, J. V. (PhD Student), Schmidt, M. N. (Main Supervisor) & Andersen, M. R. (Supervisor)
15/09/2023 → 14/09/2026
Project: PhD
-
Bayesian neural networks for molecular discovery
Larsen, L. F. (PhD Student), Schmidt, M. N. (Main Supervisor) & Andersen, M. R. (Supervisor)
15/09/2023 → 14/09/2026
Project: PhD
-
Denoising Diffusion Models
Nielsen, B. M. G. (PhD Student), Winther, O. (Main Supervisor) & Schmidt, M. N. (Supervisor)
01/11/2022 → 31/10/2025
Project: PhD