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cs.LG2026
Identifiable World Models from Pretrained Diffusion Representations
Ruchi Sandilya, Conor Liston, Logan Grosenick
Diffusion-based world models can generate and predict trajectories in high-dimensional dynamical systems, but predictive accuracy does not imply that their latent coordinates recov…
cs.LG2025
Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation
Ruchi Sandilya, Sumaira Perez, Charles Lynch +9
Diffusion models excel at generation, but their latent spaces are high dimensional and not explicitly organized for interpretation or control. We introduce ConDA (Contrastive Diffu…