Andreas Mayr's Avatar

Andreas Mayr

@mayrandreas.bsky.social

Postdoctoral Senior Scientist working at Johannes Kepler University Linz (Austria) Some other profiles: https://scholar.google.com/citations?user=3-Iw0tgAAAAJ&hl=de https://at.linkedin.com/in/andreas-mayr-48479664

362 Followers  |  188 Following  |  5 Posts  |  Joined: 19.11.2024
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Posts by Andreas Mayr (@mayrandreas.bsky.social)

We propose an alternative to symbol-permutation data augmentations for structured problem-solving tasks: By introducing a dedicated symbol axis into the recurrent state tensors of RRMs and using an attention-based design, SE‑RRMs can inherently preserve symbol eq. when needed.

03.03.2026 14:36 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Really nice to see ConGLUDe bringing together structure‑ and ligand‑based training in a single contrastive geometric architecture. Love that it builds upon VN-EGNN, that very recently appeared in the Journal of Cheminformatics (doi.org/10.1186/s133...).

15.01.2026 14:13 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Unfortunately the original Tox21 Challenge dataset benchmark was redefined in other studies, which limits comparability of the performance of different prediction methods.
Now my colleagues have created a reproducible leaderboard hosted on Hugging Face.

19.11.2025 08:08 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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It's happening again!!!

ML4Molecules workshop 2025.

within the #ELLIS Unconference, preceding #EurIPS.

More infos: moleculediscovery.github.io/workshop2025/

23.09.2025 06:12 β€” πŸ‘ 9    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0
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Happy to introduce πŸ”₯LaM-SLidEπŸ”₯!

We show how trajectories of spatial dynamical systems can be modeled in latent space by

--> leveraging IDENTIFIERS.

πŸ“šPaper: arxiv.org/abs/2502.12128
πŸ’»Code: github.com/ml-jku/LaM-S...
πŸ“Blog: ml-jku.github.io/LaM-SLidE/
1/n

22.05.2025 12:24 β€” πŸ‘ 7    πŸ” 8    πŸ’¬ 1    πŸ“Œ 1
Preview
MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug Discovery Today’s drug discovery increasingly relies on computational and machine learning approaches to identify novel candidates, yet data scarcity remains a significant challenge. To address this limitation,...

Need to predict bioactivity πŸ§ͺ but only have limited data ❌?

Try our interactive app for prompting MHNfs β€” a state-of-the-art model for few-shot molecule–property prediction. No coding or training needed. πŸš€

πŸ“„ Paper:
pubs.acs.org/doi/10.1021/...

πŸ–₯️ App:
huggingface.co/spaces/ml-jk...

13.05.2025 08:27 β€” πŸ‘ 7    πŸ” 5    πŸ’¬ 0    πŸ“Œ 1
ML for molecules and materials in the era of LLMs [ML4Molecules] ELLIS workshop, HYBRID, December 6, 2024

The Machine Learning for Molecules workshop 2024 will take place THIS FRIDAY, December 6.

Tickets for in-person participation are "SOLD" OUT.

We still have a few free tickets for online/virtual participation!

Registration link here: moleculediscovery.github.io/workshop2024/

03.12.2024 12:35 β€” πŸ‘ 19    πŸ” 14    πŸ’¬ 0    πŸ“Œ 0

Thank you!

20.11.2024 09:17 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Hi Willie, could I join your list as well?

19.11.2024 10:54 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0