Mikkel Jordahn
@mjordahn.bsky.social
Probabilistic Machine Learning for Molecular Discovery
Reposted by Mikkel Jordahn
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
August 12, 2025 at 11:46 AM
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
Reposted by Mikkel Jordahn
I'm looking for my first PhD student! We will push the frontiers of probabilistic machine learning for the molecular sciences, and study how to design new algorithms that exploit the unique properties of molecular systems to learn about the world.
efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
PhD scholarship in Machine Learning for Molecules - DTU Chemistry
Advance large scale data generation for chemical and biological AI in a 3 year PhD. Work on the frontier of active learning, and develop novel probabilistic machine learning techniques for experiment ...
efzu.fa.em2.oraclecloud.com
July 24, 2025 at 8:25 PM
I'm looking for my first PhD student! We will push the frontiers of probabilistic machine learning for the molecular sciences, and study how to design new algorithms that exploit the unique properties of molecular systems to learn about the world.
efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
Reposted by Mikkel Jordahn
EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
July 16, 2025 at 10:01 PM
EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
Reposted by Mikkel Jordahn
📣 Excited to present our ICLR spotlight paper at #ICLR2025!
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
April 22, 2025 at 10:48 PM
📣 Excited to present our ICLR spotlight paper at #ICLR2025!
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
"Bayesian Optimization via Continual Variational Last Layer Training"
📍 Poster #368 (Hall 3 + Hall 2B)
⏰ Friday during Poster Session 3
If you're in Singapore and interested in BO or Bayesian methods, definitely stop by!
More infos👇
I will soon be travelling to Thailand to present our recently accepted paper "On Local Posterior Structure in Deep Ensembles" at AISTATS! The paper was written with my joint first co-author Jonas Vestergaard Jensen, Mikkel Schmidt and Michael Riis Andersen. (1/7)
April 22, 2025 at 11:48 AM
I will soon be travelling to Thailand to present our recently accepted paper "On Local Posterior Structure in Deep Ensembles" at AISTATS! The paper was written with my joint first co-author Jonas Vestergaard Jensen, Mikkel Schmidt and Michael Riis Andersen. (1/7)
Reposted by Mikkel Jordahn
Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)
NeurIPS participation in Europe
We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...
docs.google.com
March 30, 2025 at 6:04 PM
Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)
Reposted by Mikkel Jordahn
Our paper got accepted to ICLR 2025! 🎉 Looking forward to meeting everyone in Singapur!
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
January 25, 2025 at 8:34 AM
Our paper got accepted to ICLR 2025! 🎉 Looking forward to meeting everyone in Singapur!
Reposted by Mikkel Jordahn
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
December 14, 2024 at 8:59 PM
📚 New Paper with collaborators from DTU, Vector, & Google DeepMind
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇
A neural net-based approach to BO that performs well in both classic, small-scale problems, and can efficiently scale far beyond GP surrogate models.
Visit our poster @ NeurIPS Bayesian decision-making workshop today!
More info👇