MLOLab
mlolab.bsky.social
MLOLab
@mlolab.bsky.social
We are doing application and collaboration driven development of interpretable and statistically sound machine learning methods for understanding disease heterogeneity
Explore results with built-in visualization tools!

Get started: mofaflex.readthedocs.io/stable
November 7, 2025 at 10:27 AM
Capture spatial or temporal structure with Gaussian-process priors.
November 7, 2025 at 10:27 AM
Enhance interpretability by incorporating domain knowledge.
November 7, 2025 at 10:26 AM
Modular by design — tailor MOFA-FLEX to your data assumptions and analysis needs.
November 7, 2025 at 10:26 AM
MOFA-FLEX builds flexible factor models for multi-omics data in just a few lines.

Read more: mofaflex.readthedocs.io/stable
November 7, 2025 at 10:26 AM
We got accepted at TMLR!

What characteristics of the samples consistently alleviate catastrophic forgetting in memory-based online continual learning?

@serpep.bsky.social, Ben Werner, and Florian Buettner investigated this question under an uncertainty lens.

📜: openreview.net/forum?id=dcz...
February 20, 2025 at 12:27 PM
We got accepted at #ICLR2025!

@serpep.bsky.social and Florian Buettner formalized a novel scenario for *online* federated continual learning and introduced an effective memory-based baseline that combines uncertainty-aware updates with random replay.

📄Read more: openreview.net/forum?id=f65...
February 14, 2025 at 2:41 PM