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Ramin M. Hasani

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#artificial intelligence Preprint Sep 2026

Riccati State Space Models: Non-iterative Parallelization for Nonlinear Sequence Modeling

RiccatiSSM, a nonlinear SSM, in which each state dimension follows an input-conditioned Riccati differential equation, is introduced, demonstrating that state-dependent nonlinear dynamics can retain exact composability and be evaluated efficiently within a single parallel scan.

Mónika Farsang, Ramin M. Hasani, Daniela Rus et al. · 0 citations

MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery

Across essential drug discovery tasks - including molecular optimization, ADMET property prediction, retrosynthesis, drug-target activity prediction, and functional group reasoning - the resulting model achieves near specialist-level performance and, in the majority of settings, surpasses larger models, while remaining...

Maksim Kuznetsov, Z. Miftahutdinov, Shayakhmetov Rim et al. · 1 citation

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