ComfyAI·Oct 17TabSyn: Bringing Diffusion Models to Mixed-Type Tabular Data Through a Latent SpaceTabSyn is about tabular data synthesis: training a model to generate rows realistic enough to pass for the real thing, whether to augment a…
ComfyAI·Oct 15CTSyn: Toward a Foundation Model for Generating Tabular DataImages and text both have powerful generative foundation models. Tabular data, however, has always been the awkward one. Tables differ…
ComfyAI·Sep 20Pretrain Once, Skip the Retraining: CausalFM Brings Foundation Models to Causal InferenceIn causal inference — say you’re estimating how a treatment affects different patients — every new dataset with a new causal structure…
ComfyAI·Sep 10Prior-Data Fitted Networks: The Paper That Became TabPFNThis ICLR paper introduced Prior-Data Fitted Networks (PFNs), the work that later grew into TabPFN. Here’s my reading of it.A response icon1
ComfyAI·Sep 4Can In-Context Learning Actually Learn Tasks It Never Saw in Training?In-context learning is the ability that made large language models feel magical: you show the model a few examples, and it seems to pick up…
