MLOLab
@mlolab.bsky.social
We are doing application and collaboration driven development of interpretable and statistically sound machine learning methods for understanding disease heterogeneity
Reposted by MLOLab
Are you using any of our factor models, such as MOFA? 🛵
You might’ve found it challenging to tailor them to your specific use cases - not anymore!
Introducing MOFA-FLEX: a flexible, modular factor analysis framework designed for customizable modeling across diverse multi-omics data scenarios. 1/n
You might’ve found it challenging to tailor them to your specific use cases - not anymore!
Introducing MOFA-FLEX: a flexible, modular factor analysis framework designed for customizable modeling across diverse multi-omics data scenarios. 1/n
November 7, 2025 at 10:29 AM
Are you using any of our factor models, such as MOFA? 🛵
You might’ve found it challenging to tailor them to your specific use cases - not anymore!
Introducing MOFA-FLEX: a flexible, modular factor analysis framework designed for customizable modeling across diverse multi-omics data scenarios. 1/n
You might’ve found it challenging to tailor them to your specific use cases - not anymore!
Introducing MOFA-FLEX: a flexible, modular factor analysis framework designed for customizable modeling across diverse multi-omics data scenarios. 1/n
Working with multi-omic or spatial data?
Meet MOFA-FLEX — a modular framework for interpretable factor analysis. Build custom models, select sparsity priors, leverage domain knowledge, integrate spatial information and explore results!
Here’s a quick tutorial 👇
Meet MOFA-FLEX — a modular framework for interpretable factor analysis. Build custom models, select sparsity priors, leverage domain knowledge, integrate spatial information and explore results!
Here’s a quick tutorial 👇
November 7, 2025 at 10:24 AM
Working with multi-omic or spatial data?
Meet MOFA-FLEX — a modular framework for interpretable factor analysis. Build custom models, select sparsity priors, leverage domain knowledge, integrate spatial information and explore results!
Here’s a quick tutorial 👇
Meet MOFA-FLEX — a modular framework for interpretable factor analysis. Build custom models, select sparsity priors, leverage domain knowledge, integrate spatial information and explore results!
Here’s a quick tutorial 👇
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...
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 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...
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...
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...
@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
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...
@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...