Wojciech Samek

Steering isn't just a trick; it's a fundamentally different way to adapt language models, offering localized, reversible control that traditional fine-tuning can't match.

Activation steering turns interpretability into a hands-on debugging tool, but watch out for unintended consequences and limited generalization.

Forget IoU, measuring the structural compactness of attribution maps with Minimum Spanning Trees reveals fundamental differences in how models explain themselves.

Blockchain-based federated learning can be made practical by using multi-task peer prediction to overcome the computational bottleneck of contribution measurement.

Know where and by how much your PINN is wrong: a lightweight method provides pointwise error estimates without needing the true solution.

CLIP models exhibit surprising reliance on latent components encoding polysemous words, visual typography, and dataset artifacts, revealing hidden biases that can be amplified in downstream tasks.