Weight-based Decomposition: A Case for Bilinear MLPs. - Michael T. Pearce; Thomas Dooms; Alice Rigg (CoRR, 2024)

The Trifecta: Three simple techniques for training deeper Forward-Forward networks. - Thomas Dooms; Ing Jyh Tsang; José Oramas (Trans. Mach. Learn. Res., 2024)

Bilinear MLPs enable weight-based mechanistic interpretability. - Michael T. Pearce; Thomas Dooms; Alice Rigg; José Oramas; Lee Sharkey (ICLR, 2025)

Tokenized SAEs: Disentangling SAE Reconstructions. - Thomas Dooms; Daniel Wilhelm (CoRR, 2025)

Compositionality Unlocks Deep Interpretable Models. - Thomas Dooms; Ward Gauderis; Geraint A. Wiggins; José Oramas (CoRR, 2025)

Parameterized Synthetic Text Generation with SimpleStories. - Lennart Finke; Thomas Dooms; Mat Allen; Juan Diego Rodriguez; Noa Nabeshima; Dan Braun (CoRR, 2025)