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Excited to share our preprint on iLTM: an Integrated Large Tabular Model!
arxiv: arxiv.org/abs/2511.15941
No single technique consistently excels across all tabular tasks. iLTM addresses this by integrating distinct paradigms in a single architecture:
- Gradient Boosted Decision Trees (GBDT)-based embeddings
- Robust preprocessing with random feature projections
- A meta-trained hypernetwork
- Retrieval augmentation with Soft Nearest Neighbors
@d_bonet @marcal_cc @alexGioannidis
(1/N)
arxiv: arxiv.org/abs/2511.15941
No single technique consistently excels across all tabular tasks. iLTM addresses this by integrating distinct paradigms in a single architecture:
- Gradient Boosted Decision Trees (GBDT)-based embeddings
- Robust preprocessing with random feature projections
- A meta-trained hypernetwork
- Retrieval augmentation with Soft Nearest Neighbors
@d_bonet @marcal_cc @alexGioannidis
(1/N)
