Noah J. Bagazinski

Engineering design often has only 10 to 1,000 evaluated designs because simulations and experiments are costly. GenPFN trains no new generator: a frozen TabPFN classifier reads labeled designs, candidates are interpolated between desired designs and updated with classifier gradients and Gaussian noise, and every candidate is evaluated by the problem's own constraints and objectives. Across fourteen engineering problems, GenPFN v1 has higher class satisfaction and lower realism distance than the tested CTGAN, TVAE and TabDDPM; in the stern case, 993 of 1,000 candidates passed geometric checks and met the propeller-placement area requirement, versus 28 of 2,000 random context designs.

Engineering design often has only 10 to 1,000 evaluated designs because simulations and experiments are costly. GenPFN trains no new generator: a frozen TabPFN classifier reads labeled designs, candidates are interpolated between desired designs and updated with classifier gradients and Gaussian noise, and every candidate is evaluated by the problem's own constraints and objectives. Across fourteen engineering problems, GenPFN v1 has higher class satisfaction and lower realism distance than the tested CTGAN, TVAE and TabDDPM; in the stern case, 993 of 1,000 candidates passed geometric checks and met the propeller-placement area requirement, versus 28 of 2,000 random context designs.

GenISys splits early-stage bulk-carrier concept design into 20 subsystems and uses a simultaneous conditional denoising diffusion model so each subsystem reads the others' intermediate states at every reverse step, instead of generating them in a fixed order. In a five-fit confirmation at a fixed 5,000-nautical-mile voyage range, the model returned designs that both satisfied the 187 formulated engineering constraints and met a common low-cost target in 55.70% of generation requests, versus 51.10% for the monolithic model and 47.54% for the sequential model, corresponding to 9.0% and 17.2% more qualifying designs with similar estimated transport costs.

GenISys splits early-stage bulk-carrier concept design into 20 subsystems and uses a simultaneous conditional denoising diffusion model so each subsystem reads the others' intermediate states at every reverse step, instead of generating them in a fixed order. In a five-fit confirmation at a fixed 5,000-nautical-mile voyage range, the model returned designs that both satisfied the 187 formulated engineering constraints and met a common low-cost target in 55.70% of generation requests, versus 51.10% for the monolithic model and 47.54% for the sequential model, corresponding to 9.0% and 17.2% more qualifying designs with similar estimated transport costs.