Ada-Diffuser is a causal diffusion model that jointly learns observed interaction structure and underlying latent dynamics from minimal observations for adaptive planning and policy learning.
International Conference on Learning Representations (ICLR) , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A retrieval-augmented Transformer predicts multi-step port-of-call sequences in global shipping, reporting 72.3% first-destination accuracy and 61.4% three-step accuracy while outperforming CatBoost and LSTM baselines.
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Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
Ada-Diffuser is a causal diffusion model that jointly learns observed interaction structure and underlying latent dynamics from minimal observations for adaptive planning and policy learning.
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A Retrieval-Enhanced Transformer for Multi-Step Port-of-Call Sequence Prediction in Global Liner Shipping
A retrieval-augmented Transformer predicts multi-step port-of-call sequences in global shipping, reporting 72.3% first-destination accuracy and 61.4% three-step accuracy while outperforming CatBoost and LSTM baselines.