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Laurits Fredsgaard
PhD student, Applied Mathematics and Computer Science, Technical University of Denmark
Joined
September 2023
Names
Laurits Fredsgaard
(Preferred)
,
Laurits Fredsgaard Larsen
Emails
****@dtu.dk
(Confirmed)
Personal Links
Homepage
Google Scholar
ORCID
LinkedIn
Career & Education History
PhD student
Applied Mathematics and Computer Science,
Technical University of Denmark
(dtu.dk)
2023
–
Present
Undergrad student
Computer Science,
Copenhagen University
(ku.dk)
2020
–
2023
MS student
Biology,
Copenhagen University
(ku.dk)
2018
–
2020
Undergrad student
Biology,
Copenhagen University
(ku.dk)
2015
–
2018
Advisors, Relations & Conflicts
Coauthor
Mahito Sugiyama
2025
–
2026
Coworker
Rasmus Hannibal Tirsgaard
2024
–
2026
Coworker
Marisa Wodrich
2024
–
2026
PhD Advisor
Mikkel N. Schmidt
2023
–
2026
PhD Advisor
Michael Riis Andersen
2023
–
2026
Coworker
Jonas Vestergaard Jensen
2023
–
2026
Coworker
Mikkel Jordahn
2023
–
2026
Expertise
Uncertainty Quantification
,
Calibration
,
Ensembles
,
Probabilistic Machine Learning
,
Bayesian Neural Networks
2023
–
2026
Machine Learning for Molecular Discovery
,
Graph Neural Networks
2023
–
2026
Generative Models
,
Deep Learning
,
VAEs
,
U-Net
2022
–
2023
Protein Sequence Analysis
,
Protein Structure Prediction
,
Deep Learning
2022
–
2023
Bioinformatics
,
Omics
,
Small Molecule Drug Discovery
,
Target Discovery
2021
–
2023
Immunology
,
Virology
,
Vaccine Development
,
Protein Engineering
,
Peptides
,
Proteins
2017
–
2020
Publications
Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings
Laurits Fredsgaard
,
Aaron Thomas
,
Michael Riis Andersen
,
Mikkel N. Schmidt
,
Mahito Sugiyama
Calibration for Modern AI @ AISTATS 2026
Readers:
Everyone
Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
Rasmus Hannibal Tirsgaard
,
Laurits Fredsgaard
,
Marisa Wodrich
,
Mikkel Jordahn
,
Mikkel N. Schmidt
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
Rasmus Hannibal Tirsgaard
,
Laurits Fredsgaard
,
Marisa Wodrich
,
Mikkel Jordahn
,
Mikkel N. Schmidt
AI4Mat-NeurIPS-2025 Poster
Readers:
Everyone
On Joint Regularization and Calibration in Deep Ensembles
Laurits Fredsgaard
,
Mikkel N. Schmidt
Accepted by TMLR
Readers:
Everyone
Co-Authors
Aaron Thomas
Mahito Sugiyama
Marisa Wodrich
Michael Riis Andersen
Mikkel Jordahn
Mikkel N. Schmidt
Rasmus Hannibal Tirsgaard